diff --git a/Manifest.toml b/Manifest.toml
index bb8d29cfb5377348f7faac2e100429363f3d380f..883ab5e4a3e425bddaae78e8d85146adea0571b1 100644
--- a/Manifest.toml
+++ b/Manifest.toml
@@ -1315,7 +1315,7 @@ version = "2.8.1"
[[deps.Persefone]]
deps = ["ArgParse", "CSV", "CairoMakie", "DataFrames", "DataFramesMeta", "Dates", "Distributed", "Documenter", "FileIO", "GeoArrays", "Logging", "LoggingExtras", "Pkg", "Random", "Serialization", "StableRNGs", "StatsBase", "TOML", "Test", "TiffImages", "Unitful"]
-git-tree-sha1 = "3ff76c13d401170fe49e6b8a3e2ff6d055250c72"
+git-tree-sha1 = "15f0c24271c82093d9207631daac384c8c39adf6"
repo-rev = "master"
repo-url = "https://git.idiv.de/persefone/persefone-model.git"
uuid = "039acd1d-2a07-4b33-b082-83a1ff0fd136"
diff --git a/data/crops/almass/almass_crop_growth_curves.pre b/data/crops/almass/almass_crop_growth_curves.pre
deleted file mode 100644
index b15694812be8ebc8c148605f997b39831dffff0e..0000000000000000000000000000000000000000
--- a/data/crops/almass/almass_crop_growth_curves.pre
+++ /dev/null
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-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99
--1 1 1 10
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
--1 1.1 1 10
-64 0.038461538 0.038461538 0
-90 0.022222222 0.022222222 0
-135 0.022222222 0.022222222 0
-180 0 0 0
-199 0 0 0
-308 0 0 0
-413 -0.007633588 -0.007633588 0
-675 -0.004444444 -0.004444444 0
-900 -9.08E-06 -9.08E-06 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
--1 1.2 0.2 10
-0 0.019642857 0 0
-140 0.020833333 0 0
-188 0 0 0
-207 0 0 0
-769 -0.013333333 0 0
-844 -1.01E-05 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-112
--1 3.1878 1 46.368
-105 -6.47E-06 0 -9.42E-05
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
--1 2.541 0.66 36.96
-0 0.007958478 0.001176471 0.016608997
-289 0.000812808 0.002463054 0.01182266
-695 0 0 0
-1017 -0.00027603 0 -0.004014981
-2619 0 0 0
-2787 -3.28E-05 -2.06E-05 -0.000476978
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
--1 0.66 0.5 10
-0 0.00799308 0.001730104 0.114878893
-289 0.000812808 0.002463054 0.01182266
-695 0.001024845 0 0.014906832
-1017 0 0 0
-2619 -0.002632143 0 -0.038285714
-2787 0 -2.06E-05 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-94
--1 2.415 0 35.12727273
-105 -4.91E-06 0 -7.13E-05
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 -2.50E-06 0 0.5
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
--1 1.925 0 28
-0 0.000865052 0 0.012582573
-289 0.000615764 -0.001231527 0.008956561
-695 0 0 0
-1017 -0.000209114 0 -0.003041652
-2619 0 0 0
-2787 -2.48E-05 0 0.513973303
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
--1 0.5 0 5
-0 0.006055363 0.001730104 0.09594212
-289 0.000615764 0 0.008956561
-695 0.000776398 -0.001552795 0.011293055
-1017 0 0 0
-2619 -0.001994048 0 -0.029004329
-2787 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 -2.50E-06 0 0.5
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-25
--1 3 1 20
-0 -0.005 -0.0025 -0.025
-200 -2.00E-05 -5.01E-06 -0.000150302
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 -0.026548673
-113 0.008928571 0.008928571 0.053571429
-225 0.013333333 0.02 0.026666667
-300 0.012 0.025333333 0.066666667
-375 8.89E-05 8.89E-05 0.031111111
-1500 -5.08E-05 -5.08E-05 -0.000609143
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-70
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
--1 0 0 0
-0 0 0 0
-107 -0.006976744 0.004651163 0
-150 0.010666667 0.010666667 0.12
-225 0.022666667 0.022666667 0.12
-300 0.040625 0.040625 0.28125
-332 0 0 0.083333333
-488 -5.02457E-05 -5.02457E-05 -0.000502457
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
--1 0.5 0.5 10
-0 0.016666667 0.016666667 0.333333333
-30 0.006666667 0.006666667 0
-75 0.012 0.012 0
-150 0.026666667 0.026666667 0.12
-225 0.043333333 0.043333333 0.1
-255 0 0 0.120171674
-488 -5.02457E-05 -5.02457E-05 -0.000502457
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-99999 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
-0 0 0 0
diff --git a/data/crops/almass/convert_almass_data.py b/data/crops/almass/convert_almass_data.py
deleted file mode 100755
index 4de31a6488f4f2d32744fc4d9decb1978d12373f..0000000000000000000000000000000000000000
--- a/data/crops/almass/convert_almass_data.py
+++ /dev/null
@@ -1,132 +0,0 @@
-#!/usr/bin/python3
-###
-### ALMaSS uses a pretty convoluted file format to specify its crop growth parameters.
-### This script converts the data to a more easily understandable long-table CSV format.
-###
-### Daniel Vedder, 02/08/2023
-###
-
-input_file = "almass_crop_growth_curves.pre"
-output_file = "almass_crop_growth_curves.csv"
-
-"""
-Read and parse an ALMaSS crop parameter file, returning it as a long-form array.
-
-Original data format:
-
-- first line: number of curves defined in the file
-
-- curve definition:
- - first line: curve ID
- - last figure: crop number
- - if <100 -> normal growth, if >100 -> low nutrient growth
- - each curve includes five growth phases
- - each growth phase consists of a series of 15 inflection points and slopes
- - four variable columns:
- - col 1: growing degree-days at inflection point or start marker
- - col 2: leaf area total slope
- - col 3: leaf area green slope
- - col 4: height slope
- - if col 1 == -1: set variables to values in this row (start of new growth phase)
- - if col 1 == 99999: no further growth in this growth phase
-
-See `PlantGrowthData::PlantGrowthData()` in `Landscape/plants.cpp` in the ALMaSS code.
-"""
-def parse_almass_file(filename):
- # read in all lines and split them into their component numbers
- cf = open(filename, 'r')
- raw_data = cf.readlines()[1:] # the first line is irrelevant
- cf.close()
- for i in range(len(raw_data)):
- raw_data[i] = list(map(float, raw_data[i].strip().split(sep='\t')))
- # reformat the data
- data = []
- curve_id = 0
- crop_name = ""
- nutrient_status = ""
- phases = ["janfirst", "sow", "marchfirst", "harvest1", "harvest2"]
- growth_phase = -1
- inflection_point = 0
- points_per_phase = 15
- for l in raw_data:
- # the beginning of a new curve definition is denoted by a single crop number
- if len(l) == 1:
- curve_id = int(l[0])
- inflection_point = 0
- growth_phase = -1
- crop_name, nutrient_status = interpret_crop_number(curve_id)
- #print("Adding crop "+crop_name+" ("+nutrient_status+" nutrients)")
- continue
- # there are 15 inflection points per growth phase
- if inflection_point % points_per_phase == 0: growth_phase += 1
- inflection_point += 1
- if (inflection_point-1) % points_per_phase > 0 and (l == [0,0,0,0] or l == [99999,0,0,0]):
- continue # we can ignore empty inflection points
- # save each relevant inflection or start point with their associated values
- if l[0] == -1: point_type = "start"
- else: point_type = "slope"
- #if l[0] == -1 or l[0] == 99999: l[0] = 0 #XXX should we keep sign-post values?
- data.append([curve_id, crop_name, nutrient_status,
- phases[growth_phase], point_type]+l)
- return data
-
-"""
-Each growth curve is associated with a crop number, which specifies the crop type
-and nutrient growing conditions.
-
-See `PlantGrowthData::VegTypeToCurveNum()` in `Landscape/plants.cpp` in the ALMaSS code.
-"""
-def interpret_crop_number(i):
- if i in [1, 101]: crop_type = "spring barley"
- elif i in [2, 102]: crop_type = "winter barley"
- elif i in [3, 103]: crop_type = "spring wheat"
- elif i in [4, 104]: crop_type = "winter wheat"
- elif i in [5, 105]: crop_type = "winter rye"
- elif i in [6, 106]: crop_type = "oats"
- elif i in [7, 107]: crop_type = "triticale"
- elif i in [8, 108]: crop_type = "maize"
- elif i in [13, 113]: crop_type = "undersown spring barley"
- elif i in [21, 121]: crop_type = "spring rape"
- elif i in [22, 122]: crop_type = "winter rape"
- elif i == 25: crop_type = "permanent grassland (low yield)"
- elif i == 26: crop_type = "permanent grassland (grazed)"
- elif i == 27: crop_type = "permanent grassland (seeded)"
- #elif i == 28: crop_type = "NA" #XXX unknown number that appears in the data
- elif i == 29: crop_type = "fodder/clover"
- elif i == 30: crop_type = "peas/beans"
- elif i in [41, 141]: crop_type = "carrots"
- elif i in [50, 150]: crop_type = "potatoes"
- elif i in [60, 160]: crop_type = "beet"
- elif i in [65, 165]: crop_type = "silage clover/grass"
- elif i == 70: crop_type = "lucerne"
- elif i == 80: crop_type = "tulips"
- elif i == 90: crop_type = "natural grass"
- elif i == 91: crop_type = "no growth"
- elif i == 92: crop_type = "permanent set-aside"
- elif i == 94: crop_type = "lawn"
- #elif i == 99: crop_type = "NA" #XXX unknown number that appears in the data
- elif i == 112: crop_type = "heath"
- else:
- crop_type = "NA"
- print("WARNING: unknown crop type "+str(i))
- if i > 100: nutrient_status = "low"
- else: nutrient_status = "high"
- return crop_type, nutrient_status
-
-"""
-Reformat the crop parameters and output them as a long-form CSV table.
-"""
-def print_csv_file(crop_data, filename):
- cf = open(filename, 'w')
- cf.write("curve_id,crop_name,nutrient_status,growth_phase,point_type,GDD,LAI_total,LAI_green,height\n")
- for entry in crop_data:
- line = ""
- for e in entry:
- line += str(e)+","
- cf.write(line[:-1]+'\n')
- cf.close()
-
-
-if __name__ == "__main__":
- data = parse_almass_file(input_file)
- print_csv_file(data, output_file)
diff --git a/data/crops/almass/crop_data_general.csv b/data/crops/almass/crop_data_general.csv
deleted file mode 100644
index c779dec5fa35c5777bb5363b88a81dbd8556bddc..0000000000000000000000000000000000000000
--- a/data/crops/almass/crop_data_general.csv
+++ /dev/null
@@ -1,28 +0,0 @@
-name,minsowdate,maxsowdate,minharvestdate,maxharvestdate,mingrowthtemp,group
-"spring rape",NA,NA,NA,NA,NA,"grain"
-"winter rape","20 August","25 August",NA,NA,NA,"grain"
-"winter wheat","15 October","31 October",NA,NA,0,"grain"
-"spring wheat",NA,NA,NA,NA,NA,"grain"
-"winter barley","15 September","30 September",NA,NA,0,"grain"
-"spring barley","1 March","10 April",NA,NA,0,"grain"
-"undersown spring barley",NA,NA,NA,NA,0,"grain"
-"winter rye","23 September","15 October",NA,NA,NA,"grain"
-"triticale","25 September","10 October",NA,NA,NA,"grain"
-"oats",NA,NA,NA,NA,NA,"grain"
-"maize","15 April","30 April",NA,NA,8,"grain"
-"potatoes",NA,NA,NA,NA,4,"root"
-"carrots",NA,NA,NA,NA,NA,"root"
-"beet","15 March","10 May",NA,NA,NA,"root"
-"sunflower","25 March","15 April",NA,NA,NA,"other"
-"lucerne",NA,NA,NA,NA,NA,"legumes"
-"peas/beans","15 February","15 March",NA,NA,5,"legumes"
-"silage clover/grass",NA,NA,NA,NA,NA,"legumes"
-"fodder/clover",NA,NA,NA,NA,NA,"legumes"
-"lawn",NA,NA,NA,NA,NA,"grass"
-"permanent grassland (grazed)",NA,NA,NA,NA,NA,"grass"
-"permanent grassland (seeded)",NA,NA,NA,NA,NA,"grass"
-"permanent grassland (low yield)",NA,NA,NA,NA,NA,"grass"
-"permanent set-aside",NA,NA,NA,NA,NA,"semi-natural"
-"natural grass",NA,NA,NA,NA,NA,"semi-natural"
-"no growth",NA,NA,NA,NA,NA,"semi-natural"
-"heath",NA,NA,NA,NA,NA,"semi-natural"
diff --git a/data/crops/almass/crop_growth_curves.csv b/data/crops/almass/crop_growth_curves.csv
deleted file mode 100644
index 7896a334f06c0d4ccf338fd422b365c3b1cade52..0000000000000000000000000000000000000000
--- a/data/crops/almass/crop_growth_curves.csv
+++ /dev/null
@@ -1,650 +0,0 @@
-curve_id,crop_name,nutrient_status,growth_phase,point_type,GDD,LAI_total,LAI_green,height
-1,spring barley,high,janfirst,slope,99999,0,0,0
-1,spring barley,high,sow,start,-1,0,0,0
-1,spring barley,high,sow,slope,83,0.005466667,0.005466667,0.066666667
-1,spring barley,high,sow,slope,158,0.01,0.009866667,0.066666667
-1,spring barley,high,sow,slope,233,0.018266667,0.0184,0.106666667
-1,spring barley,high,sow,slope,308,0.033378378,0.033378378,0.081081081
-1,spring barley,high,sow,slope,382,0,0,0.060773481
-1,spring barley,high,sow,slope,563,0,0,0.154639175
-1,spring barley,high,sow,slope,660,0,0,0.066666667
-1,spring barley,high,sow,slope,675,0,0,0.138095238
-1,spring barley,high,sow,slope,885,0,-0.016233766,-0.029220779
-1,spring barley,high,sow,slope,1193,0,0,-0.035830619
-1,spring barley,high,sow,slope,1500,0,0,-0.000609143
-1,spring barley,high,marchfirst,slope,99999,0,0,0
-1,spring barley,high,harvest1,start,-1,0.3,0,10
-1,spring barley,high,harvest2,slope,99999,0,0,0
-101,spring barley,low,janfirst,slope,99999,0,0,0
-101,spring barley,low,sow,start,-1,0,0,0
-101,spring barley,low,sow,slope,83,0.003333333,0.003333333,0.066666667
-101,spring barley,low,sow,slope,158,0.006,0.006,0.066666667
-101,spring barley,low,sow,slope,233,0.010933333,0.010933333,0.194666667
-101,spring barley,low,sow,slope,308,0.009932886,0.009932886,0.195973154
-101,spring barley,low,sow,slope,457,0,0,0.195180723
-101,spring barley,low,sow,slope,540,0,0,0
-101,spring barley,low,sow,slope,623,0,0,-1.333333333
-101,spring barley,low,sow,slope,638,0,-0.006160164,0
-101,spring barley,low,sow,slope,1125,0,0,-0.000505694
-101,spring barley,low,marchfirst,slope,99999,0,0,0
-101,spring barley,low,harvest1,start,-1,0.2,0,10
-101,spring barley,low,harvest2,slope,99999,0,0,0
-4,winter wheat,high,janfirst,slope,99999,0,0,0
-4,winter wheat,high,sow,start,-1,0,0,0
-4,winter wheat,high,sow,slope,83,0.002304147,0.002304147,0.055299539
-4,winter wheat,high,sow,slope,300,0,0,0
-4,winter wheat,high,marchfirst,slope,0,0,0,0
-4,winter wheat,high,marchfirst,slope,107,0.006666667,0.006666667,0
-4,winter wheat,high,marchfirst,slope,182,0.016,0.016,0.172
-4,winter wheat,high,marchfirst,slope,257,0.036363636,0.036363636,0.172727273
-4,winter wheat,high,marchfirst,slope,334,0,0,0.17593985
-4,winter wheat,high,marchfirst,slope,600,0,0,0
-4,winter wheat,high,marchfirst,slope,1087,0,-0.016722408,0
-4,winter wheat,high,marchfirst,slope,1386,0,0,-0.000861955
-4,winter wheat,high,harvest1,start,-1,0.3,0,10
-4,winter wheat,high,harvest2,slope,99999,0,0,0
-104,winter wheat,low,janfirst,slope,99999,0,0,0
-104,winter wheat,low,sow,start,-1,0,0,0
-104,winter wheat,low,sow,slope,83,0.003225806,0.003225806,0.055299539
-104,winter wheat,low,sow,slope,300,0,0,0
-104,winter wheat,low,marchfirst,slope,0,0,0,0
-104,winter wheat,low,marchfirst,slope,107,0.002666667,0.002666667,0
-104,winter wheat,low,marchfirst,slope,182,0.010666667,0.010666667,0.149333333
-104,winter wheat,low,marchfirst,slope,257,0.012295082,0.012295082,0.151639344
-104,winter wheat,low,marchfirst,slope,379,0,0,0.150678733
-104,winter wheat,low,marchfirst,slope,600,0,0,0
-104,winter wheat,low,marchfirst,slope,750,0,-0.005,0
-104,winter wheat,low,marchfirst,slope,1350,0,0,-0.000658902
-104,winter wheat,low,harvest1,start,-1,0.42,0,10
-104,winter wheat,low,harvest2,slope,99999,0,0,0
-13,undersown spring barley,high,janfirst,slope,99999,0,0,0
-13,undersown spring barley,high,sow,start,-1,0,0,0
-13,undersown spring barley,high,sow,slope,83,0.005466667,0.005466667,0.066666667
-13,undersown spring barley,high,sow,slope,158,0.01,0.009866667,0.066666667
-13,undersown spring barley,high,sow,slope,233,0.018266667,0.0184,0.212
-13,undersown spring barley,high,sow,slope,308,0.033378378,0.033378378,0.213513514
-13,undersown spring barley,high,sow,slope,382,0,0,0.21160221
-13,undersown spring barley,high,sow,slope,563,0,0,0
-13,undersown spring barley,high,sow,slope,660,0,0,-1.333333333
-13,undersown spring barley,high,sow,slope,675,0,0,0
-13,undersown spring barley,high,sow,slope,885,0,-0.016233766,0
-13,undersown spring barley,high,sow,slope,1193,0,0,-0.000607251
-13,undersown spring barley,high,marchfirst,slope,99999,0,0,0
-13,undersown spring barley,high,harvest1,start,-1,0.275,0.165,5
-13,undersown spring barley,high,harvest1,slope,0,0.005625,0.003375,0.1
-13,undersown spring barley,high,harvest1,slope,40,0.002857143,0.005714286,0
-13,undersown spring barley,high,harvest1,slope,75,0.012,0.012,0.013333333
-13,undersown spring barley,high,harvest1,slope,150,0.022666667,0.024,0.08
-13,undersown spring barley,high,harvest1,slope,225,0.040909091,0.040909091,0.068181818
-13,undersown spring barley,high,harvest1,slope,269,0,0,0.08203125
-13,undersown spring barley,high,harvest1,slope,525,-0.0000503,-0.0000503,-0.000402115
-13,undersown spring barley,high,harvest2,start,-1,0.5,0.5,10
-13,undersown spring barley,high,harvest2,slope,0,0.008,0.008,0.133333333
-13,undersown spring barley,high,harvest2,slope,75,0.018666667,0.018666667,0.08
-13,undersown spring barley,high,harvest2,slope,150,0.04,0.04,0.04
-13,undersown spring barley,high,harvest2,slope,225,0,0,0.07
-13,undersown spring barley,high,harvest2,slope,525,-0.0000503,-0.0000503,-0.000402115
-113,undersown spring barley,low,janfirst,slope,99999,0,0,0
-113,undersown spring barley,low,sow,start,-1,0,0,0
-113,undersown spring barley,low,sow,slope,83,0.003333333,0.003333333,0.066666667
-113,undersown spring barley,low,sow,slope,158,0.006,0.006,0.066666667
-113,undersown spring barley,low,sow,slope,233,0.010933333,0.010933333,0.194666667
-113,undersown spring barley,low,sow,slope,308,0.009932886,0.009932886,0.195973154
-113,undersown spring barley,low,sow,slope,457,0,0,0.195180723
-113,undersown spring barley,low,sow,slope,540,0,0,0
-113,undersown spring barley,low,sow,slope,623,0,0,-1.333333333
-113,undersown spring barley,low,sow,slope,638,0,-0.006160164,0
-113,undersown spring barley,low,sow,slope,1125,0,0,-0.000505694
-113,undersown spring barley,low,marchfirst,slope,99999,0,0,0
-113,undersown spring barley,low,harvest1,start,-1,0.7,0.5,9
-113,undersown spring barley,low,harvest1,slope,0,0,0.001333333,0
-113,undersown spring barley,low,harvest1,slope,75,0.017333333,0.018666667,0.013333333
-113,undersown spring barley,low,harvest1,slope,150,0.04,0.04,0.08
-113,undersown spring barley,low,harvest1,slope,225,0,0,0.08
-113,undersown spring barley,low,harvest1,slope,525,0,-0.0000503,-0.000402115
-113,undersown spring barley,low,harvest2,start,-1,0.5,0.5,10
-113,undersown spring barley,low,harvest2,slope,0,0.008,0.008,0.133333333
-113,undersown spring barley,low,harvest2,slope,75,0.018666667,0.018666667,0
-113,undersown spring barley,low,harvest2,slope,150,0.04,0.04,0.08
-113,undersown spring barley,low,harvest2,slope,225,0,0,0.08
-113,undersown spring barley,low,harvest2,slope,525,-0.0000503,-0.0000503,-0.000402115
-30,peas/beans,high,janfirst,slope,99999,0,0,0
-30,peas/beans,high,sow,start,-1,0,0,0
-30,peas/beans,high,sow,slope,113,0.001069519,0.001069519,0.064171123
-30,peas/beans,high,sow,slope,300,0.012,0.012,0.186666667
-30,peas/beans,high,sow,slope,375,0.037333333,0.037333333,0.2
-30,peas/beans,high,sow,slope,450,0.06875,0.06875,0.1875
-30,peas/beans,high,sow,slope,466,0,0,0.192513369
-30,peas/beans,high,sow,slope,653,-0.005952381,-0.011904762,-0.130952381
-30,peas/beans,high,sow,slope,1073,0,0,-0.000252714
-30,peas/beans,high,marchfirst,slope,99999,0,0,0
-30,peas/beans,high,harvest1,start,-1,0.2,0,5
-30,peas/beans,high,harvest2,slope,99999,0,0,0
-21,spring rape,high,janfirst,slope,99999,0,0,0
-21,spring rape,high,sow,start,-1,0,0,0
-21,spring rape,high,sow,slope,105,0.005333333,0.005333333,0.04
-21,spring rape,high,sow,slope,180,0.010666667,0.010666667,0.026666667
-21,spring rape,high,sow,slope,255,0.018666667,0.018666667,0.066666667
-21,spring rape,high,sow,slope,330,0.034285714,0.034285714,0.171428571
-21,spring rape,high,sow,slope,400,0,0,0.453781513
-21,spring rape,high,sow,slope,638,0,0,0
-21,spring rape,high,sow,slope,1121,0,-0.028901734,0
-21,spring rape,high,sow,slope,1294,0,0,-0.001317056
-21,spring rape,high,marchfirst,slope,99999,0,0,0
-21,spring rape,high,harvest1,start,-1,0.1,0,10
-21,spring rape,high,harvest2,slope,99999,0,0,0
-121,spring rape,low,janfirst,slope,99999,0,0,0
-121,spring rape,low,sow,start,-1,0,0,0
-121,spring rape,low,sow,slope,105,0.002666667,0.002666667,0.04
-121,spring rape,low,sow,slope,180,0.005333333,0.005333333,0.026666667
-121,spring rape,low,sow,slope,255,0.009333333,0.009333333,0.053333333
-121,spring rape,low,sow,slope,330,0.017346939,0.017346939,0.163265306
-121,spring rape,low,sow,slope,428,0,0,0.357142857
-121,spring rape,low,sow,slope,638,0,0,0
-121,spring rape,low,sow,slope,900,0,-0.00887574,0
-121,spring rape,low,sow,slope,1238,0,0,-0.001012545
-121,spring rape,low,marchfirst,slope,99999,0,0,0
-121,spring rape,low,harvest1,start,-1,0.1,0,10
-121,spring rape,low,harvest2,slope,99999,0,0,0
-22,winter rape,high,janfirst,slope,99999,0,0,0
-22,winter rape,high,sow,start,-1,0,0,0
-22,winter rape,high,sow,slope,105,0.004,0.004,0.04
-22,winter rape,high,sow,slope,180,0.004,0.004,0.026666667
-22,winter rape,high,sow,slope,255,0.0075,0.0075,0.058333333
-22,winter rape,high,sow,slope,375,0.002222222,0.002222222,0.013333333
-22,winter rape,high,sow,slope,600,0,0,0
-22,winter rape,high,marchfirst,slope,0,0,0,0
-22,winter rape,high,marchfirst,slope,92,0.013333333,0.013333333,0.106666667
-22,winter rape,high,marchfirst,slope,167,0.029850746,0.029850746,0.388059701
-22,winter rape,high,marchfirst,slope,234,0,0,0.435146444
-22,winter rape,high,marchfirst,slope,473,0,0,0
-22,winter rape,high,marchfirst,slope,869,0,-0.009960159,0
-22,winter rape,high,marchfirst,slope,1371,0,0,-0.001520866
-22,winter rape,high,harvest1,start,-1,0.1,0,10
-22,winter rape,high,harvest2,slope,99999,0,0,0
-122,winter rape,low,janfirst,slope,99999,0,0,0
-122,winter rape,low,sow,start,-1,0,0,0
-122,winter rape,low,sow,slope,105,0.002666667,0.002666667,0.04
-122,winter rape,low,sow,slope,180,0.005333333,0.005333333,0.026666667
-122,winter rape,low,sow,slope,255,0.011666667,0.011666667,0.041666667
-122,winter rape,low,sow,slope,375,0.002222222,0.002222222,0.017777778
-122,winter rape,low,sow,slope,600,-0.0000252,-0.0000252,-0.000140846
-122,winter rape,low,marchfirst,slope,0,0,0,0
-122,winter rape,low,marchfirst,slope,107,0.004,0.004,0.106666667
-122,winter rape,low,marchfirst,slope,182,0.014634146,0.014634146,0.329268293
-122,winter rape,low,marchfirst,slope,264,0,0,0.334821429
-122,winter rape,low,marchfirst,slope,488,0,0,0
-122,winter rape,low,marchfirst,slope,713,0,-0.005714286,0
-122,winter rape,low,marchfirst,slope,1238,0,0,-0.001215055
-122,winter rape,low,harvest1,start,-1,0.1,0,10
-122,winter rape,low,harvest2,slope,99999,0,0,0
-41,carrots,high,janfirst,slope,99999,0,0,0
-41,carrots,high,sow,start,-1,0,0,0
-41,carrots,high,sow,slope,225,0.000266667,0.000266667,0.026666667
-41,carrots,high,sow,slope,300,0.001066667,0.001066667,0.026666667
-41,carrots,high,sow,slope,375,0.002,0.002,0.026666667
-41,carrots,high,sow,slope,450,0.003333333,0.003333333,0.026666667
-41,carrots,high,sow,slope,525,0.009333333,0.009333333,0.053333333
-41,carrots,high,sow,slope,600,0.005333333,0.005333333,0.053333333
-41,carrots,high,sow,slope,750,0.01,0.01,0.016666667
-41,carrots,high,sow,slope,1050,-0.0000505,-0.0000505,-0.000252655
-41,carrots,high,marchfirst,slope,99999,0,0,0
-41,carrots,high,harvest1,start,-1,0,0,0
-41,carrots,high,harvest2,slope,99999,0,0,0
-141,carrots,low,janfirst,slope,99999,0,0,0
-141,carrots,low,sow,start,-1,0,0,0
-141,carrots,low,sow,slope,225,0.000266667,0.000266667,0.026666667
-141,carrots,low,sow,slope,300,0.001066667,0.001066667,0.026666667
-141,carrots,low,sow,slope,375,0.002,0.002,0.026666667
-141,carrots,low,sow,slope,450,0.003333333,0.004666667,0.026666667
-141,carrots,low,sow,slope,525,0.008,0.006666667,0.04
-141,carrots,low,sow,slope,600,0.004,0.004,0.046666667
-141,carrots,low,sow,slope,750,0.004333333,0.004333333,0.013333333
-141,carrots,low,sow,slope,1050,-0.0000303,-0.0000303,-0.000222337
-141,carrots,low,marchfirst,slope,99999,0,0,0
-141,carrots,low,harvest1,start,-1,0,0,0
-141,carrots,low,harvest2,slope,99999,0,0,0
-5,winter rye,high,janfirst,slope,99999,0,0,0
-5,winter rye,high,sow,start,-1,0,0,0
-5,winter rye,high,sow,slope,83,0.002304147,0.002304147,0.069124424
-5,winter rye,high,sow,slope,300,0,0,0
-5,winter rye,high,marchfirst,slope,0,0,0,0
-5,winter rye,high,marchfirst,slope,107,0.014666667,0.014666667,0.066666667
-5,winter rye,high,marchfirst,slope,182,0.050746269,0.050746269,0.298507463
-5,winter rye,high,marchfirst,slope,249,0,0,0.234741784
-5,winter rye,high,marchfirst,slope,675,0,0,0
-5,winter rye,high,marchfirst,slope,1082,-0.006920415,-0.017301038,0
-5,winter rye,high,marchfirst,slope,1371,0,0,-0.001419475
-5,winter rye,high,harvest1,start,-1,0.3,0,10
-5,winter rye,high,harvest2,slope,99999,0,0,0
-105,winter rye,low,janfirst,slope,99999,0,0,0
-105,winter rye,low,sow,start,-1,0,0,0
-105,winter rye,low,sow,slope,83,0.002304147,0.002304147,0.069124424
-105,winter rye,low,sow,slope,300,-0.00000502,-0.00000502,-0.000150453
-105,winter rye,low,marchfirst,slope,0,0,0,0
-105,winter rye,low,marchfirst,slope,107,0.006666667,0.006666667,0.066666667
-105,winter rye,low,marchfirst,slope,182,0.024390244,0.024390244,0.243902439
-105,winter rye,low,marchfirst,slope,264,0,0,0.194647202
-105,winter rye,low,marchfirst,slope,675,0,0,0
-105,winter rye,low,marchfirst,slope,750,0,-0.005,0
-105,winter rye,low,marchfirst,slope,1350,0,0,-0.001216434
-105,winter rye,low,harvest1,start,-1,0.2,0,10
-105,winter rye,low,harvest2,slope,99999,0,0,0
-7,triticale,high,janfirst,slope,99999,0,0,0
-7,triticale,high,sow,start,-1,0,0,0
-7,triticale,high,sow,slope,83,0.002304147,0.002304147,0.046082949
-7,triticale,high,sow,slope,300,0,0,0
-7,triticale,high,marchfirst,slope,0,0,0,0
-7,triticale,high,marchfirst,slope,107,0.009333333,0.009333333,0.066666667
-7,triticale,high,marchfirst,slope,182,0.026666667,0.026666667,0.133333333
-7,triticale,high,marchfirst,slope,257,0.048648649,0.048648649,0.27027027
-7,triticale,high,marchfirst,slope,294,0,0,0.196850394
-7,triticale,high,marchfirst,slope,675,0,0,0.073710074
-7,triticale,high,marchfirst,slope,1082,0,-0.017301038,0
-7,triticale,high,marchfirst,slope,1371,0,0,-0.001419475
-7,triticale,high,harvest1,start,-1,0.3,0,10
-7,triticale,high,harvest2,slope,99999,0,0,0
-107,triticale,low,janfirst,slope,99999,0,0,0
-107,triticale,low,sow,start,-1,0,0,0
-107,triticale,low,sow,slope,83,0.002304147,0.002304147,0.046082949
-107,triticale,low,sow,slope,300,0,0,0
-107,triticale,low,marchfirst,slope,0,0,0,0
-107,triticale,low,marchfirst,slope,107,0.005333333,0.005333333,0.066666667
-107,triticale,low,marchfirst,slope,182,0.009756098,0.009756098,0.097560976
-107,triticale,low,marchfirst,slope,264,0.029545455,0.029545455,0.272727273
-107,triticale,low,marchfirst,slope,308,0,0,0.177111717
-107,triticale,low,marchfirst,slope,675,0,0,0
-107,triticale,low,marchfirst,slope,750,0,-0.005,0
-107,triticale,low,marchfirst,slope,1350,0,0,-0.001013695
-107,triticale,low,harvest1,start,-1,0.2,0,10
-107,triticale,low,harvest2,slope,99999,0,0,0
-2,winter barley,high,janfirst,slope,99999,0,0,0
-2,winter barley,high,sow,start,-1,0,0,0
-2,winter barley,high,sow,slope,83,0.002304147,0.002304147,0.046082949
-2,winter barley,high,sow,slope,300,0,0,0
-2,winter barley,high,marchfirst,slope,0,0,0,0
-2,winter barley,high,marchfirst,slope,107,0.014666667,0.014666667,0.133333333
-2,winter barley,high,marchfirst,slope,182,0.050746269,0.050746269,0.298507463
-2,winter barley,high,marchfirst,slope,249,0,0,0.18115942
-2,winter barley,high,marchfirst,slope,525,0,0,0
-2,winter barley,high,marchfirst,slope,715,0,-0.01754386,0
-2,winter barley,high,marchfirst,slope,1000,0,0,-0.0009091
-2,winter barley,high,harvest1,start,-1,0.3,0,10
-2,winter barley,high,harvest2,slope,99999,0,0,0
-102,winter barley,low,janfirst,slope,99999,0,0,0
-102,winter barley,low,sow,start,-1,0,0,0
-102,winter barley,low,sow,slope,83,0.002304147,0.002304147,0.046082949
-102,winter barley,low,sow,slope,300,0,0,0
-102,winter barley,low,marchfirst,slope,0,0,0,0
-102,winter barley,low,marchfirst,slope,107,0.006666667,0.006666667,0.133333333
-102,winter barley,low,marchfirst,slope,182,0.024390244,0.024390244,0.243902439
-102,winter barley,low,marchfirst,slope,264,0,0,0.153256705
-102,winter barley,low,marchfirst,slope,525,0,0,0
-102,winter barley,low,marchfirst,slope,638,0,-0.008902077,0
-102,winter barley,low,marchfirst,slope,975,0,0,-0.000807885
-102,winter barley,low,harvest1,start,-1,0.2,0,10
-102,winter barley,low,harvest2,slope,99999,0,0,0
-3,spring wheat,high,janfirst,slope,99999,0,0,0
-3,spring wheat,high,sow,start,-1,0,0,0
-3,spring wheat,high,sow,slope,83,0.004,0.004,0.066666667
-3,spring wheat,high,sow,slope,158,0.006666667,0.006666667,0.066666667
-3,spring wheat,high,sow,slope,233,0.010666667,0.010666667,0.173333333
-3,spring wheat,high,sow,slope,308,0.017333333,0.017333333,0.173333333
-3,spring wheat,high,sow,slope,383,0.028,0.028,0.173333333
-3,spring wheat,high,sow,slope,458,0,0,0.174657534
-3,spring wheat,high,sow,slope,750,0,0,0
-3,spring wheat,high,sow,slope,900,0,-0.014792899,0
-3,spring wheat,high,sow,slope,1238,0,0,-0.001012545
-3,spring wheat,high,marchfirst,slope,99999,0,0,0
-3,spring wheat,high,harvest1,start,-1,0.3,0,10
-3,spring wheat,high,harvest2,slope,99999,0,0,0
-103,spring wheat,low,janfirst,slope,99999,0,0,0
-103,spring wheat,low,sow,start,-1,0,0,0
-103,spring wheat,low,sow,slope,83,0.002666667,0.002666667,0.066666667
-103,spring wheat,low,sow,slope,158,0.004,0.004,0.066666667
-103,spring wheat,low,sow,slope,233,0.006666667,0.006666667,0.16
-103,spring wheat,low,sow,slope,308,0.009333333,0.009333333,0.16
-103,spring wheat,low,sow,slope,383,0.017333333,0.017333333,0.16
-103,spring wheat,low,sow,slope,458,0,0,0.150684932
-103,spring wheat,low,sow,slope,750,0,0,0
-103,spring wheat,low,sow,slope,788,0,-0.007281553,0
-103,spring wheat,low,sow,slope,1200,0,0,-0.00091094
-103,spring wheat,low,marchfirst,slope,99999,0,0,0
-103,spring wheat,low,harvest1,start,-1,0.2,0,10
-103,spring wheat,low,harvest2,slope,99999,0,0,0
-21,spring rape,high,janfirst,slope,99999,0,0,0
-21,spring rape,high,sow,start,-1,0,0,0
-21,spring rape,high,sow,slope,113,0.001785714,0.001785714,0.107142857
-21,spring rape,high,sow,slope,225,0.010666667,0.010666667,0.106666667
-21,spring rape,high,sow,slope,300,0.02,0.02,0.133333333
-21,spring rape,high,sow,slope,375,0.033333333,0.033333333,0.186666667
-21,spring rape,high,sow,slope,450,0,0,0.177339901
-21,spring rape,high,sow,slope,653,0,0,0
-21,spring rape,high,sow,slope,1050,0,-0.014792899,0
-21,spring rape,high,sow,slope,1388,0,0,-0.000811269
-21,spring rape,high,marchfirst,slope,99999,0,0,0
-21,spring rape,high,harvest1,start,-1,0.2,0,10
-21,spring rape,high,harvest2,slope,99999,0,0,0
-60,beet,high,janfirst,slope,99999,0,0,0
-60,beet,high,sow,start,-1,0,0,0
-60,beet,high,sow,slope,150,0.005,0.005,0.033333333
-60,beet,high,sow,slope,210,0.005555556,0.005555556,0.088888889
-60,beet,high,sow,slope,300,0.010666667,0.010666667,0.066666667
-60,beet,high,sow,slope,375,0.017333333,0.017333333,0.066666667
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-112,heath,low,harvest1,slope,695,0.001024845,0,0.014906832
-112,heath,low,harvest1,slope,1017,0,0,0
-112,heath,low,harvest1,slope,2619,-0.002632143,0,-0.038285714
-112,heath,low,harvest1,slope,2787,0,-0.0000206,0
-112,heath,low,harvest2,slope,99999,0,0,0
-94,lawn,high,janfirst,start,-1,2.415,0,35.12727273
-94,lawn,high,janfirst,slope,105,-0.00000491,0,-0.0000713
-94,lawn,high,janfirst,slope,0,-0.0000025,0,0.5
-94,lawn,high,sow,slope,99999,0,0,0
-94,lawn,high,marchfirst,start,-1,1.925,0,28
-94,lawn,high,marchfirst,slope,0,0.000865052,0,0.012582573
-94,lawn,high,marchfirst,slope,289,0.000615764,-0.001231527,0.008956561
-94,lawn,high,marchfirst,slope,695,0,0,0
-94,lawn,high,marchfirst,slope,1017,-0.000209114,0,-0.003041652
-94,lawn,high,marchfirst,slope,2619,0,0,0
-94,lawn,high,marchfirst,slope,2787,-0.0000248,0,0.513973303
-94,lawn,high,harvest1,start,-1,0.5,0,5
-94,lawn,high,harvest1,slope,0,0.006055363,0.001730104,0.09594212
-94,lawn,high,harvest1,slope,289,0.000615764,0,0.008956561
-94,lawn,high,harvest1,slope,695,0.000776398,-0.001552795,0.011293055
-94,lawn,high,harvest1,slope,1017,0,0,0
-94,lawn,high,harvest1,slope,2619,-0.001994048,0,-0.029004329
-94,lawn,high,harvest1,slope,2787,0,0,0
-94,lawn,high,harvest1,slope,0,-0.0000025,0,0.5
-94,lawn,high,harvest2,slope,99999,0,0,0
-25,permanent grassland (low yield),high,janfirst,start,-1,3,1,20
-25,permanent grassland (low yield),high,janfirst,slope,0,-0.005,-0.0025,-0.025
-25,permanent grassland (low yield),high,janfirst,slope,200,-0.00002,-0.00000501,-0.000150302
-25,permanent grassland (low yield),high,sow,slope,99999,0,0,0
-25,permanent grassland (low yield),high,marchfirst,slope,0,0,0,-0.026548673
-25,permanent grassland (low yield),high,marchfirst,slope,113,0.008928571,0.008928571,0.053571429
-25,permanent grassland (low yield),high,marchfirst,slope,225,0.013333333,0.02,0.026666667
-25,permanent grassland (low yield),high,marchfirst,slope,300,0.012,0.025333333,0.066666667
-25,permanent grassland (low yield),high,marchfirst,slope,375,0.0000889,0.0000889,0.031111111
-25,permanent grassland (low yield),high,marchfirst,slope,1500,-0.0000508,-0.0000508,-0.000609143
-25,permanent grassland (low yield),high,harvest1,slope,99999,0,0,0
-25,permanent grassland (low yield),high,harvest2,slope,99999,0,0,0
-70,lucerne,high,janfirst,slope,99999,0,0,0
-70,lucerne,high,sow,start,-1,0,0,0
-70,lucerne,high,sow,slope,107,-0.006976744,0.004651163,0
-70,lucerne,high,sow,slope,150,0.010666667,0.010666667,0.12
-70,lucerne,high,sow,slope,225,0.022666667,0.022666667,0.12
-70,lucerne,high,sow,slope,300,0.040625,0.040625,0.28125
-70,lucerne,high,sow,slope,332,0,0,0.083333333
-70,lucerne,high,sow,slope,488,-0.0000502457,-0.0000502457,-0.000502457
-70,lucerne,high,marchfirst,slope,99999,0,0,0
-70,lucerne,high,harvest1,start,-1,0.5,0.5,10
-70,lucerne,high,harvest1,slope,0,0.016666667,0.016666667,0.333333333
-70,lucerne,high,harvest1,slope,30,0.006666667,0.006666667,0
-70,lucerne,high,harvest1,slope,75,0.012,0.012,0
-70,lucerne,high,harvest1,slope,150,0.026666667,0.026666667,0.12
-70,lucerne,high,harvest1,slope,225,0.043333333,0.043333333,0.1
-70,lucerne,high,harvest1,slope,255,0,0,0.120171674
-70,lucerne,high,harvest1,slope,488,-0.0000502457,-0.0000502457,-0.000502457
-70,lucerne,high,harvest2,slope,99999,0,0,0
diff --git a/data/farm/standard_gross_margins.csv b/data/farm/standard_gross_margins.csv
deleted file mode 100644
index 4d44815ddf9327c5d5458033953ec0b6b17e56f7..0000000000000000000000000000000000000000
--- a/data/farm/standard_gross_margins.csv
+++ /dev/null
@@ -1,309 +0,0 @@
-Category,Region,Year,SGM,Yield,Price,Value,Arable_Aid,Total_Output,Variable_Costs
-Wheat,Germany,2022,1777,80.9,28.67,2319, ,2319,542
-Wheat,Germany,2021,1077,78.6,18.87,1484, ,1484,407
-Wheat,Germany,2020,824,74.2,16.1,1195, ,1195,371
-Wheat,Germany,2019,772,67.5,17.73,1197, ,1197,425
-Wheat,Germany,2018,699,76.7,14.77,1132, ,1132,433
-Wheat,Germany,2017,690,76.7,14.51,1113, ,1113,423
-Wheat,Germany,2016,691,81.2,14.45,1174, ,1174,483
-Wheat,Germany,2015,865,86.5,15.81,1368, ,1368,502
-Wheat,Germany,2014,915,80.1,17.53,1405, ,1405,490
-Wheat,Germany,2013,1216,73.9,23.01,1700, ,1700,484
-Wheat,Germany,2012,803,70.4,18.57,1308, ,1308,505
-Wheat,Germany,2011,1047,72.3,20.67,1494, ,1494,447
-Wheat,Germany,2010,397,77.9,10.75,837, ,837,440
-Wheat,Germany,2009,654,80.6,14.7,1186, ,1186,531
-Wheat,Germany,2008,1088,68.8,21.41,1473, ,1473,386
-Wheat,Germany,2007,561,71.3,12.8,912, ,912,351
-Wheat,Germany,2006,349,73.9,9.52,704, ,704,355
-Wheat,Germany,2005,759,81,9.3,753,347,1100,341
-Wheat,Germany,2004,845,64.9,12.73,826,346,1173,327
-Wheat,Germany,2003,746,68.4,10.51,719,346,1065,319
-Wheat,Germany,2002,839,78,10.7,835,346,1181,342
-Wheat,Germany,2001,831,72.3,11.38,822,323,1145,314
-Durum wheat ,Germany,2022,1397,55.1,31.2,1719, ,1719,323
-Durum wheat ,Germany,2021,647,53.8,19.64,1057, ,1057,410
-Durum wheat ,Germany,2020,483,49.2,17.61,849, ,849,366
-Durum wheat ,Germany,2019,502,45.8,19.32,867, ,867,365
-Durum wheat ,Germany,2018,528,57.5,17.16,967, ,967,439
-Durum wheat ,Germany,2017,456,53.3,16.67,871, ,871,415
-Durum wheat ,Germany,2016,357,46.5,16.74,763, ,763,406
-Durum wheat ,Germany,2015,743,65.3,19.04,1218, ,1218,475
-Durum wheat ,Germany,2014,696,61.3,19,1141, ,1141,445
-Durum wheat ,Germany,2013,767,49.2,24.83,1197, ,1197,430
-Durum wheat ,Germany,2012,541,47.3,20.83,966, ,966,424
-Durum wheat ,Germany,2011,871,53.1,24.2,1259, ,1259,389
-Durum wheat ,Germany,2010,362,58,13.51,768, ,768,406
-Durum wheat ,Germany,2009,404,59.8,15.2,891, ,891,486
-Durum wheat ,Germany,2008,958,50.1,26.38,1295, ,1295,337
-Durum wheat ,Germany,2007,356,52.9,13.13,681, ,681,324
-Durum wheat ,Germany,2006,423,49.3,15.37,743, ,743,320
-Durum wheat ,Germany,2005,727,61.1,11.96,716,347,1063,336
-Durum wheat ,Germany,2004,725,47.2,14.67,679,346,1025,300
-Durum wheat ,Germany,2003,853,53.1,15.57,810,346,1157,304
-Durum wheat ,Germany,2002,848,51.1,15.74,788,346,1134,286
-Durum wheat ,Germany,2001,709,50.3,13.8,681,323,1004,295
-Rye ,Germany,2022,909,52.7,24.69,1301, ,1301,393
-Rye ,Germany,2021,468,55.2,15.15,836, ,836,369
-Rye ,Germany,2020,339,50.9,13.85,691, ,691,352
-Rye ,Germany,2019,350,42.1,17.02,702, ,702,352
-Rye ,Germany,2018,338,50.9,14.34,715, ,715,377
-Rye ,Germany,2017,318,55.6,12.95,706, ,706,387
-Rye ,Germany,2016,296,56.6,12.64,701, ,701,405
-Rye ,Germany,2015,375,61.2,13.39,803, ,803,428
-Rye ,Germany,2014,426,59.8,14.48,849, ,849,423
-Rye ,Germany,2013,617,54.7,19.51,1046, ,1046,429
-Rye ,Germany,2012,440,41.1,20.86,840, ,840,401
-Rye ,Germany,2011,462,46.3,18.61,844, ,844,382
-Rye ,Germany,2010,100,57,8.85,494, ,494,394
-Rye ,Germany,2009,225,50.8,13.1,652, ,652,427
-Rye ,Germany,2008,500,40.2,20.68,815, ,815,314
-Rye ,Germany,2007,318,49.1,13.11,631, ,631,313
-Rye ,Germany,2006,185,50.9,9.51,474, ,474,290
-Rye ,Germany,2005,517,61.3,7.89,474,347,820,303
-Rye ,Germany,2004,526,42.9,10.91,459,346,805,279
-Rye ,Germany,2003,491,50.3,8.78,433,346,779,288
-Rye ,Germany,2002,621,61.1,9.63,576,346,923,302
-Rye ,Germany,2001,543,49,9.91,476,323,799,256
-Barley ,Germany,2022,1368,67,26.81,1796, ,1796,428
-Barley ,Germany,2021,784,64.1,17.33,1109, ,1109,325
-Barley ,Germany,2020,644,66.8,14.92,996, ,996,352
-Barley ,Germany,2019,656,57.7,17.99,1039, ,1039,383
-Barley ,Germany,2018,634,68.5,14.9,1021, ,1021,386
-Barley ,Germany,2017,520,66,13.59,897, ,897,377
-Barley ,Germany,2016,572,71.1,13.93,990, ,990,418
-Barley ,Germany,2015,643,72.8,14.74,1073, ,1073,430
-Barley ,Germany,2014,689,65.4,16.72,1093, ,1093,404
-Barley ,Germany,2013,915,62.7,20.91,1311, ,1311,396
-Barley ,Germany,2012,662,54.7,19.15,1048, ,1048,386
-Barley ,Germany,2011,762,62.1,18.12,1126, ,1126,364
-Barley ,Germany,2010,269,64.9,9.44,613, ,613,344
-Barley ,Germany,2009,465,61.4,14.41,884, ,884,419
-Barley ,Germany,2008,843,52.2,21.81,1139, ,1139,296
-Barley ,Germany,2007,492,57.1,13.41,766, ,766,274
-Barley ,Germany,2006,299,58.3,9.82,572, ,572,273
-Barley ,Germany,2005,685,64.6,9.48,612,347,959,273
-Barley ,Germany,2004,691,51,11.64,594,346,940,250
-Barley ,Germany,2003,620,54.2,9.68,525,346,872,251
-Barley ,Germany,2002,739,62.3,10.58,660,346,1006,267
-Barley ,Germany,2001,718,57.2,11.08,634,323,956,238
-Oats,Germany,2022,606,42.5,21.58,917, ,917,311
-Oats,Germany,2021,499,45.1,16.51,745, ,745,246
-Oats,Germany,2020,456,40.6,15.81,641, ,641,185
-Oats,Germany,2019,502,40.7,17.42,710, ,710,208
-Oats,Germany,2018,428,44.3,14.53,643, ,643,215
-Oats,Germany,2017,434,46,14.12,649, ,649,215
-Oats,Germany,2016,404,44.9,14.11,634, ,634,230
-Oats,Germany,2015,485,50.3,14.4,724, ,724,240
-Oats,Germany,2014,513,47.6,15.82,753, ,753,240
-Oats,Germany,2013,795,51.5,20.43,1053, ,1053,258
-Oats,Germany,2012,584,43.5,18.88,822, ,822,238
-Oats,Germany,2011,524,42,17.47,734, ,734,210
-Oats,Germany,2010,265,50.2,9.67,486, ,486,221
-Oats,Germany,2009,375,43.8,14.03,614, ,614,239
-Oats,Germany,2008,609,40.6,19.74,801, ,801,191
-Oats,Germany,2007,411,44.7,13.38,598, ,598,186
-Oats,Germany,2006,246,45.3,9.3,422, ,422,176
-Oats,Germany,2005,633,51.3,8.86,455,347,802,168
-Oats,Germany,2004,636,45.3,9.99,453,346,800,164
-Oats,Germany,2003,590,43.3,9.15,396,346,743,152
-Oats,Germany,2002,712,48.6,10.9,530,346,876,164
-Oats,Germany,2001,699,45.7,11.61,531,323,854,155
-Grain maize ,Germany,2022,2007,103.6,26.99,2796, ,2796,790
-Grain maize ,Germany,2021,1187,93,19.03,1771, ,1771,583
-Grain maize ,Germany,2020,725,88.1,16.38,1400, ,1400,674
-Grain maize ,Germany,2019,640,81.4,17.02,1344, ,1344,704
-Grain maize ,Germany,2018,846,105.3,15.5,1583, ,1583,738
-Grain maize ,Germany,2017,737,96.5,15.47,1448, ,1448,711
-Grain maize ,Germany,2016,596,88.8,15.88,1368, ,1368,771
-Grain maize ,Germany,2015,692,107.6,14.59,1523, ,1523,831
-Grain maize ,Germany,2014,826,89.1,18.45,1595, ,1595,769
-Grain maize ,Germany,2013,1474,105.5,22.46,2298, ,2298,824
-Grain maize ,Germany,2012,1225,107.2,19.56,2034, ,2034,809
-Grain maize ,Germany,2011,1069,90.9,20.37,1796, ,1796,728
-Grain maize ,Germany,2010,487,98.6,12.59,1204, ,1204,717
-Grain maize ,Germany,2009,376,99.1,12.4,1192, ,1192,816
-Grain maize ,Germany,2008,1225,94.9,20.58,1894, ,1894,669
-Grain maize ,Germany,2007,538,80.7,14.55,1139, ,1139,601
-Grain maize ,Germany,2006,412,92.7,11.17,1004, ,1004,592
-Grain maize ,Germany,2005,715,91.3,10.63,941,347,1288,573
-Grain maize ,Germany,2004,862,74.5,14.27,1031,346,1378,516
-Grain maize ,Germany,2003,773,93.9,10.97,999,346,1346,573
-Grain maize ,Germany,2002,681,78.5,11.33,863,346,1210,529
-Grain maize ,Germany,2001,554,76.5,10.29,763,323,1086,532
-Potatoes ,Germany,2022,6416,437.9,18.38,8050, ,8050,1634
-Potatoes ,Germany,2021,7049,428.3,19.96,8548, ,8548,1498
-Potatoes ,Germany,2020,7224,390.3,22.14,8643, ,8643,1419
-Potatoes ,Germany,2019,8325,353.8,28.33,10023, ,10023,1698
-Potatoes ,Germany,2018,4160,467.9,11.88,5561, ,5561,1400
-Potatoes ,Germany,2017,6882,444.2,19.02,8448, ,8448,1567
-Potatoes ,Germany,2016,5882,438.1,16.35,7163, ,7163,1280
-Potatoes ,Germany,2015,2619,474.2,7.72,3662, ,3662,1043
-Potatoes ,Germany,2014,8036,398.3,24.01,9562, ,9562,1526
-Potatoes ,Germany,2013,7332,447.5,19.53,8739, ,8739,1407
-Potatoes ,Germany,2012,3896,457.6,11.02,5041, ,5041,1145
-Potatoes ,Germany,2011,7683,398.8,22.63,9026, ,9026,1343
-Potatoes ,Germany,2010,4019,442.6,11.42,5055, ,5055,1036
-Potatoes ,Germany,2009,3927,437.4,11.51,5032, ,5032,1105
-Potatoes ,Germany,2008,7138,324,29.46,9354, ,9354,2216
-Potatoes ,Germany,2007,6718,365.3,22.21,8113, ,8113,1396
-Potatoes ,Germany,2006,3317,419.3,10.1,4234, ,4234,918
-Potatoes ,Germany,2005,663,329.5,4.57,1507, ,1507,844
-Potatoes ,Germany,2004,2005,288.8,10.12,2923, ,2923,917
-Potatoes ,Germany,2003,1682,391.2,6.5,2544, ,2544,862
-Potatoes ,Germany,2002,2684,361.7,10.14,3668, ,3668,984
-Potatoes ,Germany,2001,1184,386.4,5.07,1959, ,1959,774
-Sugar beets ,Germany,2022,1903,817.7,3.34,2731, ,2731,828
-Sugar beets ,Germany,2021,1793,741.5,3.5,2595, ,2595,803
-Sugar beets ,Germany,2020,1551,724.4,2.92,2115, ,2115,564
-Sugar beets ,Germany,2019,1119,632.8,3.13,1981, ,1981,862
-Sugar beets ,Germany,2018,1585,837.5,3.02,2529, ,2529,944
-Sugar beets ,Germany,2017,1898,762.3,3.6,2744, ,2744,847
-Sugar beets ,Germany,2016,1450,721.7,3.3,2382, ,2382,931
-Sugar beets ,Germany,2015,1795,798.6,3.45,2755, ,2755,960
-Sugar beets ,Germany,2014,1932,638.8,4.35,2779, ,2779,846
-Sugar beets ,Germany,2013,2013,688.5,4.35,2995, ,2995,982
-Sugar beets ,Germany,2012,1446,628.7,3.7,2326, ,2326,880
-Sugar beets ,Germany,2011,1053,616.3,2.98,1837, ,1837,783
-Sugar beets ,Germany,2010,1230,675.6,2.98,2013, ,2013,783
-Sugar beets ,Germany,2009,877,622.9,2.78,1732, ,1732,855
-Sugar beets ,Germany,2008,1161,624.3,2.98,1860, ,1860,699
-Sugar beets ,Germany,2007,1258,577.3,3.29,1899, ,1899,642
-Sugar beets ,Germany,2006,2330,601.8,4.9,2949, ,2949,619
-Sugar beets ,Germany,2005,2409,616.5,4.9,3021, ,3021,612
-Sugar beets ,Germany,2004,2001,532.2,4.91,2613, ,2613,612
-Sugar beets ,Germany,2003,2207,605.6,4.68,2834, ,2834,628
-Sugar beets ,Germany,2002,1909,550.1,4.57,2514, ,2514,605
-Sugar beets ,Germany,2001,2065,605,4.41,2668, ,2668,603
-Temporary grass,Germany,2022,544,88,7.41,652, ,652,107
-Temporary grass,Germany,2021,431,71.3,7.4,527, ,527,96
-Temporary grass,Germany,2020,272,62.7,8.2,463, ,463,190
-Temporary grass,Germany,2019,174,50.6,8.2,373, ,373,200
-Temporary grass,Germany,2018,222,76.1,6.8,466, ,466,244
-Temporary grass,Germany,2017,227,75.5,6.8,462, ,462,235
-Temporary grass,Germany,2016,180,80.6,6.8,493, ,493,314
-Temporary grass,Germany,2015,167,80.6,6.8,493, ,493,327
-Temporary grass,Germany,2014,174,80.8,6.8,495, ,495,321
-Temporary grass,Germany,2013,125,84.7,6.8,518, ,518,393
-Temporary grass,Germany,2012,140,79.6,6.8,487, ,487,347
-Temporary grass,Germany,2011,200,77.1,6.8,472, ,472,272
-Temporary grass,Germany,2010,211,77.4,6.5,453, ,453,242
-Temporary grass,Germany,2009,137,80.7,6.5,472, ,472,335
-Temporary grass,Germany,2008,262,85.4,7.1,546, ,546,284
-Temporary grass,Germany,2007,234,72.2,7.1,461, ,461,228
-Temporary grass,Germany,2006,266,86.1,6.5,504, ,504,238
-Temporary grass,Germany,2005,143,90.9,4.5,368, ,368,225
-Temporary grass,Germany,2004,367,67.9,9,550, ,550,183
-Temporary grass,Germany,2003,178,93.9,4.8,406, ,406,228
-Temporary grass,Germany,2002,203,91.3,4.8,394, ,394,191
-Temporary grass,Germany,2001,192,88.2,4.8,381, ,381,189
-Silage maize,Germany,2022,784,401.5,3.2,1285, ,1285,501
-Silage maize,Germany,2021,728,360.3,3.2,1153, ,1153,425
-Silage maize,Germany,2020,457,390,2.8,928, ,928,471
-Silage maize,Germany,2019,318,352.9,2.8,840, ,840,522
-Silage maize,Germany,2018,587,474.6,2.8,1130, ,1130,542
-Silage maize,Germany,2017,492,430.8,2.8,1025, ,1025,534
-Silage maize,Germany,2016,449,413.6,2.8,984, ,984,535
-Silage maize,Germany,2015,556,473.3,2.8,1126, ,1126,570
-Silage maize,Germany,2014,404,389.7,2.8,927, ,927,524
-Silage maize,Germany,2013,550,464.3,2.8,1105, ,1105,555
-Silage maize,Germany,2012,572,476.1,2.8,1133, ,1133,561
-Silage maize,Germany,2011,466,393.8,2.8,937, ,937,471
-Silage maize,Germany,2010,583,445,2.8,1059, ,1059,476
-Silage maize,Germany,2009,527,451.4,2.8,1074, ,1074,548
-Silage maize,Germany,2008,796,469.8,3.1,1238, ,1238,442
-Silage maize,Germany,2007,643,394,3.1,1038, ,1038,395
-Silage maize,Germany,2006,703,454.3,2.8,1081, ,1081,378
-Silage maize,Germany,2005,418,438.4,2.1,783, ,783,365
-Silage maize,Germany,2004,1009,378.5,4.2,1351, ,1351,342
-Silage maize,Germany,2003,448,454.3,2.1,811, ,811,363
-Silage maize,Germany,2002,367,443.3,1.9,716, ,716,349
-Silage maize,Germany,2001,360,449.7,1.9,726, ,726,366
-Rape,Germany,2022,1920,35,72,2520, ,2520,600
-Rape,Germany,2021,930,36.8,36.84,1354, ,1354,423
-Rape,Germany,2020,772,33,35.8,1181, ,1181,409
-Rape,Germany,2019,524,29.9,34.62,1036, ,1036,512
-Rape,Germany,2018,566,32.6,33.52,1093, ,1093,527
-Rape,Germany,2017,746,34.5,36.88,1273, ,1273,526
-Rape,Germany,2016,768,39,34.46,1344, ,1344,576
-Rape,Germany,2015,821,44.7,31.82,1422, ,1422,600
-Rape,Germany,2014,805,39.4,35.36,1393, ,1393,588
-Rape,Germany,2013,1059,36.9,44.89,1657, ,1657,598
-Rape,Germany,2012,730,29.2,43.21,1263, ,1263,533
-Rape,Germany,2011,1076,38.9,41.1,1599, ,1599,524
-Rape,Germany,2010,607,42.8,25.85,1106, ,1106,500
-Rape,Germany,2009,773,37.6,36.65,1378, ,1378,605
-Rape,Germany,2008,800,33.9,36.62,1243, ,1243,443
-Rape,Germany,2007,493,36.9,24.2,894, ,894,400
-Rape,Germany,2006,392,37.2,20.21,751, ,751,359
-Rape,Germany,2005,758,40.6,18.77,763,347,1109,351
-Rape,Germany,2004,746,28.7,24.5,703,346,1050,303
-Rape,Germany,2003,673,29.2,21.33,624,346,970,298
-Rape,Germany,2002,895,36.1,21.45,774,437,1212,317
-Rape,Germany,2001,798,33,18.59,614,494,1108,309
-Sunflower ,Germany,2022,860,26.1,49.27,1286, ,1286,426
-Sunflower ,Germany,2021,261,20.6,31,639, ,639,378
-Sunflower ,Germany,2020,211,20.5,29.42,591, ,591,380
-Sunflower ,Germany,2019,143,18.2,29.16,520, ,520,378
-Sunflower ,Germany,2018,352,21.9,34.34,737, ,737,385
-Sunflower ,Germany,2017,345,21.4,34.54,724, ,724,380
-Sunflower ,Germany,2016,205,19.2,31.92,601, ,601,396
-Sunflower ,Germany,2015,210,23,31.02,699, ,699,490
-Sunflower ,Germany,2014,259,21,35.4,729, ,729,469
-Sunflower ,Germany,2013,492,23.8,41.53,969, ,969,476
-Sunflower ,Germany,2012,253,19.8,36.21,703, ,703,450
-Sunflower ,Germany,2011,339,18.9,36.07,668, ,668,329
-Sunflower ,Germany,2010,171,24.1,20.86,493, ,493,321
-Sunflower ,Germany,2009,407,19.6,40.1,770, ,770,363
-Sunflower ,Germany,2008,304,26.5,23.42,608, ,608,304
-Sunflower ,Germany,2007,135,19.3,21.76,412, ,412,276
-Sunflower ,Germany,2006,263,24.7,21.76,527, ,527,264
-Sunflower ,Germany,2005,451,22.1,16.43,356,347,702,251
-Sunflower ,Germany,2004,455,19.8,18.84,366,346,712,257
-Sunflower ,Germany,2003,570,19.9,24.44,477,346,823,253
-Sunflower ,Germany,2002,736,26.5,21.82,567,437,1005,268
-Sunflower ,Germany,2001,713,25.3,19.41,482,494,976,263
-Soya ,Germany,2022,1253,31.2,58.97,1840, ,1840,587
-Soya ,Germany,2021,627,26.8,45.78,1227, ,1227,599
-Soya ,Germany,2020,421,32.5,20.43,651, ,651,229
-Soya ,Germany,2019,250,29.1,19.57,558, ,558,308
-Soya ,Germany,2018,300,40.7,16.22,647, ,647,347
-Soya ,Germany,2017,259,39.7,15.57,606, ,606,347
-Soya ,Germany,2016,151,35.4,15.16,526, ,526,375
-Soya ,Germany,2015,406,42.7,19.75,826, ,826,420
-Soya ,Germany,2014,333,36.3,19.94,709, ,709,376
-Soya ,Germany,2013,519,38.9,24.01,915, ,915,396
-Soya ,Germany,2012,188,35.6,17.31,604, ,604,416
-Soya ,Germany,2011,101,30.6,15.95,473, ,473,372
-Soya ,Germany,2010,82,39.5,11.39,436, ,436,355
-Soya ,Germany,2009,262,34.5,17.5,586,54,640,377
-Soya ,Germany,2008,349,35.3,17.71,606, ,660,312
-Soya ,Germany,2007,145,32.6,11.77,372, ,426,281
-Soya ,Germany,2006,112,38,9.87,364, ,418,305
-Soya ,Germany,2005,487,41.3,9.99,400,399,799,312
-Soya ,Germany,2004,518,28.8,13.76,384,399,783,265
-Soya ,Germany,2003,467,27.8,12.07,325,399,724,257
-Soya ,Germany,2002,548,34.1,13.03,431,399,830,281
-Soya ,Germany,2001,456,28.9,13,364,399,763,307
-Pasture and meadows,Germany,2022,367,77.9,8.73,680, ,680,313
-Pasture and meadows,Germany,2021,347,58.5,7.95,462, ,462,115
-Pasture and meadows,Germany,2020,320,57.5,7.38,425, ,425,104
-Pasture and meadows,Germany,2019,252,49.2,7.38,363, ,363,111
-Pasture and meadows,Germany,2018,299,68.2,6.12,417, ,417,118
-Pasture and meadows,Germany,2017,304,68.3,6.12,418, ,418,114
-Pasture and meadows,Germany,2016,298,72.6,6.12,444, ,444,146
-Pasture and meadows,Germany,2015,291,72.6,6.12,444, ,444,153
-Pasture and meadows,Germany,2014,314,75.8,6.12,464, ,464,150
-Pasture and meadows,Germany,2013,311,80.1,6.12,490, ,490,179
-Pasture and meadows,Germany,2012,300,76.3,6.12,467, ,467,168
-Pasture and meadows,Germany,2011,304,75.4,6.12,462, ,462,158
-Pasture and meadows,Germany,2010,330,80.8,5.85,473, ,473,143
-Pasture and meadows,Germany,2009,264,79.1,5.85,463, ,463,199
-Pasture and meadows,Germany,2008,364,83,6.39,531, ,531,167
-Pasture and meadows,Germany,2007,381,78,6.39,499, ,499,118
-Pasture and meadows,Germany,2006,357,84,5.85,491, ,491,134
-Pasture and meadows,Germany,2005,217,82.1,4.05,333, ,333,115
-Pasture and meadows,Germany,2004,438,64.6,8.1,523, ,523,85
-Pasture and meadows,Germany,2003,254,85.8,4.32,371, ,371,117
-Pasture and meadows,Germany,2002,245,81.6,4.32,353, ,353,108
-Pasture and meadows,Germany,2001,244,82.6,4.32,357, ,357,113
diff --git a/data/regions/extract_weather_data.R b/data/regions/extract_weather_data.R
deleted file mode 100755
index 1463984e97741f1ee7e9881fd3b1e5438885b562..0000000000000000000000000000000000000000
--- a/data/regions/extract_weather_data.R
+++ /dev/null
@@ -1,31 +0,0 @@
-#!/usr/bin/Rscript
-###
-### Extract the relevant data from DWD weather files. (See the HTML documentation
-### for instructions on how to obtain the data files.)
-###
-### Daniel Vedder, 27/07/2023
-###
-
-library(tidyverse)
-
-## replace this with the correct file name
-weatherfile = "produkt_klima_tag_19490701_20231231_00896.txt"
-
-data = read.table(weatherfile, sep=";", header=T)
-
-weather = data %>%
- ## drop values before 1990 to save space
- filter(MESS_DATUM>=19900101) %>%
- ## select relevant variables and convert place-holder values to NA
- select(MESS_DATUM, FM, RSK, SDK, VPM, TMK, TXK, TNK) %>%
- mutate(date=MESS_DATUM, MESS_DATUM=NULL,
- mean_windspeed=na_if(FM, -999), FM=NULL,
- precipitation=na_if(RSK, -999), RSK=NULL,
- sunshine_hours=na_if(SDK, -999), SDK=NULL,
- mean_vapour_pressure=na_if(VPM, -999), VPM=NULL,
- mean_temperature=na_if(TMK, -999), TMK=NULL,
- max_temperature=na_if(TXK, -999), TXK=NULL,
- min_temperature=na_if(TNK, -999), TNK=NULL)
-
-## replace with the desired file name
-write.csv(weather, file="weather.csv", row.names=FALSE)
diff --git a/data/regions/hohenlohe/landcover.tif b/data/regions/hohenlohe/landcover.tif
deleted file mode 100644
index 0021e374eeeeb25fd35191ca3df796faddca94bc..0000000000000000000000000000000000000000
Binary files a/data/regions/hohenlohe/landcover.tif and /dev/null differ
diff --git a/data/regions/jena-small/fields.tif b/data/regions/jena-small/fields.tif
deleted file mode 100644
index e30a3540a6eeadc9b240cdc79531e6017d8f7458..0000000000000000000000000000000000000000
Binary files a/data/regions/jena-small/fields.tif and /dev/null differ
diff --git a/data/regions/jena-small/landcover.tif b/data/regions/jena-small/landcover.tif
deleted file mode 100644
index 3239587a23c95ae004ea4ea96658c20da2ade4fd..0000000000000000000000000000000000000000
Binary files a/data/regions/jena-small/landcover.tif and /dev/null differ
diff --git a/data/regions/jena-small/weather.csv b/data/regions/jena-small/weather.csv
deleted file mode 100644
index 50bfa377c38ee6b21130ef4ec88a7eb26a0b90b6..0000000000000000000000000000000000000000
--- a/data/regions/jena-small/weather.csv
+++ /dev/null
@@ -1,12419 +0,0 @@
-"date","mean_windspeed","precipitation","sunshine_hours","mean_vapour_pressure","mean_temperature","max_temperature","min_temperature"
-19900101,NA,0,0,4.9,0.6,1.5,-1.9
-19900102,NA,0,0,5.3,0.1,1.4,-0.7
-19900103,NA,0,0,4.4,-1,0.4,-2
-19900104,NA,0,3.4,4.3,-0.5,2.2,-4.4
-19900105,NA,1.1,0,5.1,0.6,1.2,-2.7
-19900106,NA,0,3.5,4.9,0,1.5,-4.6
-19900107,NA,0,5,4,-2,3.1,-5.9
-19900108,NA,0.2,0.3,4.4,-0.7,1.5,-7.6
-19900109,NA,0,0,6.2,3.1,4.4,0.3
-19900110,NA,0,0,5.9,2.7,6.6,0.6
-19900111,NA,0,0,6,4.2,6.3,-1.7
-19900112,NA,0,1,6.3,3.5,7.8,0.6
-19900113,NA,0,5.3,5.1,0.8,5,-2.4
-19900114,NA,0,1.9,6,2.2,7.6,-0.1
-19900115,NA,0,0.3,5.9,4.4,6.1,-0.7
-19900116,NA,0,0,8.6,9.9,11.8,5.2
-19900117,NA,1.1,0.1,7.9,8.8,11.4,6
-19900118,NA,0,4.9,5.2,4.3,6.9,2
-19900119,NA,0.4,2.9,5.5,5.4,8,3
-19900120,NA,0.4,0,6.7,5.8,6.5,3.3
-19900121,NA,0,1.3,8.3,10,12.6,5.3
-19900122,NA,0,2.8,7.3,7.6,9.7,6.4
-19900123,NA,0,2.3,6.4,8.2,11,3
-19900124,NA,2.2,3.5,6.4,6.3,9.6,3
-19900125,NA,4.5,0,7.2,8.7,13.8,1.8
-19900126,NA,1.5,7,5.4,6.3,11.5,3.8
-19900127,NA,0.5,4.8,6.4,4.3,8.2,2.2
-19900128,NA,0,0.4,5.5,8.4,12.2,0.6
-19900129,NA,0,6.2,5.7,4.1,9.5,0.9
-19900130,NA,0,0.4,6.9,6.1,8.3,-0.5
-19900131,NA,0,0.1,6.9,8.1,10.5,5.1
-19900201,NA,0,0,7.5,9.4,12.8,4.8
-19900202,NA,0.1,0.5,6.7,6.2,10.5,3.3
-19900203,NA,0.4,0.9,6.4,9.5,12.2,2.8
-19900204,NA,0,7.1,6,7,12.7,4.5
-19900205,NA,0,6.3,5.7,5.6,13.8,2
-19900206,NA,0,7.4,4.7,3.3,13.6,-3.6
-19900207,NA,0,5.6,6.9,11,15,1.1
-19900208,NA,0.9,2.6,7.9,10.6,17,6.2
-19900209,NA,1,1,5.9,4.3,8.5,1.8
-19900210,NA,0.8,5.2,4.8,5.9,9.4,-0.7
-19900211,NA,0.4,1.8,6.3,5.1,8.2,2.8
-19900212,NA,0.4,2.8,6,3.9,8.4,1.7
-19900213,NA,6.1,1.2,5.3,3.4,6.2,0.6
-19900214,NA,1.9,2,6,5.7,7.5,0.8
-19900215,NA,9.7,0,6.4,2.8,5.7,0.4
-19900216,NA,0,5,4.8,3.3,5.6,1.4
-19900217,NA,0,8.4,5.2,4.3,8.6,-2
-19900218,NA,0,0.7,8.6,10,12.1,4.7
-19900219,NA,0,6.5,9.1,10.8,16.2,6.3
-19900220,NA,0,7.8,9.8,11.8,17.6,8.2
-19900221,NA,0,7.3,8.6,11.9,19.2,1.9
-19900222,NA,0,9.1,5.5,7,15.6,1.8
-19900223,NA,0,9,6.1,8.6,18.7,-0.5
-19900224,NA,0,8,8.4,11.5,20.7,3.1
-19900225,NA,0,0,8.1,14.5,17,6.1
-19900226,NA,10,1.7,8.2,9.1,15.8,4.3
-19900227,NA,6.4,0.7,6.3,4.1,5.7,0.9
-19900228,NA,12.4,3.7,6,5.7,7.4,2.6
-19900301,NA,1.7,4.2,5.2,4.1,8.4,2.3
-19900302,NA,0.8,4.4,4.8,2.4,6.2,0.7
-19900303,NA,0.3,0.3,5.8,4.3,5.4,0
-19900304,NA,0,0.6,5.7,6.1,7.1,3.6
-19900305,NA,0,1,6.7,7.2,8.4,3.3
-19900306,NA,0.3,0.3,6.9,9.5,10.7,7
-19900307,NA,0,0,8.5,10.3,13,7.4
-19900308,NA,0,6.1,7.3,9.7,15.8,6.2
-19900309,NA,3.5,4.2,6.4,6.2,14.2,2.3
-19900310,NA,1.2,0,8.4,9.2,12.9,4.3
-19900311,NA,0,6.7,9.5,14.3,19.8,9.2
-19900312,NA,0,6.7,7.2,10,15.8,5.9
-19900313,NA,0,8.4,5.7,6,13.5,-0.3
-19900314,NA,0.1,0.8,7.8,5.9,11.7,-0.2
-19900315,NA,0,6.3,6.2,6.9,16.6,0.3
-19900316,NA,0,9.2,6.8,8.7,19.4,0
-19900317,NA,0,9.5,5.8,9.9,22.3,0.6
-19900318,NA,0,9.7,4.8,11.1,23.4,1.3
-19900319,NA,0,9.3,6.4,12.7,22.5,2.5
-19900320,NA,0.4,0.3,9.7,13,14.6,7
-19900321,NA,0,3.6,9.8,13,18.8,8.2
-19900322,NA,2,0,10.4,11.6,17.6,8.5
-19900323,NA,0,6,6.3,8.7,13.4,5.2
-19900324,NA,0.9,8.1,6.7,9.4,16.6,2.4
-19900325,NA,0.1,7.1,5.8,6,10.2,4.2
-19900326,NA,0.2,1.2,6.2,5.6,9.4,3.5
-19900327,NA,0.6,1.6,6.3,6.8,10.4,2.3
-19900328,NA,4.9,0,7.8,5.1,6.9,1.6
-19900329,NA,0.3,0,8.8,7.6,8.5,5.5
-19900330,NA,0,7.8,7.2,7.7,14.5,4.4
-19900331,NA,0,9.2,7.5,7.2,13.4,3.3
-19900401,NA,0,8.7,7,11.3,23.4,1.5
-19900402,NA,0,8.9,7.1,14,23,4.3
-19900403,NA,6.1,3.6,8.1,10.8,19.5,5.9
-19900404,NA,2.7,6,5.5,5.2,10.5,2.2
-19900405,NA,0,4.3,5.3,3,9.4,-0.7
-19900406,NA,0,5.5,5.8,6,11,-0.4
-19900407,NA,0,0.8,5.5,6.2,9.4,2.3
-19900408,NA,0,8.1,4.1,5.3,9.9,2.6
-19900409,NA,0,11.6,3.6,4.3,10.1,-1.9
-19900410,NA,2.9,10.2,3.9,6.1,12.5,-3.9
-19900411,NA,6,3.1,7.7,6.2,11.4,4.1
-19900412,NA,0,2.9,6.5,6.2,12,3.3
-19900413,NA,0,4.4,8,9.4,15.3,0.5
-19900414,NA,2.5,0.3,8.5,10.1,16,6.9
-19900415,NA,0.8,1.1,7.3,6.5,10.5,2.9
-19900416,NA,0.4,7.9,7.1,7.1,13,2.7
-19900417,NA,3,5.5,7,6.6,12.5,1.8
-19900418,NA,0.7,1.5,7.6,7.8,12,1.2
-19900419,NA,4.5,1.8,8.6,9.5,13.7,5.3
-19900420,NA,0,9.7,8.4,12.2,17.6,3.2
-19900421,NA,1,5.3,9.5,12.4,18.6,5.3
-19900422,NA,0,3.8,9.9,11.9,16,5.3
-19900423,NA,2.5,0.2,9.5,10.1,13,8.3
-19900424,NA,8.8,0.5,10.6,9.1,12.2,8
-19900425,NA,4.5,0.2,10.3,8.8,11.4,8
-19900426,NA,0.3,8.5,7.9,11.6,18.4,5.8
-19900427,NA,0.3,0.9,7.5,8.3,12.3,5.9
-19900428,NA,1.3,3.6,6.2,8,10.5,3.6
-19900429,NA,0.1,5,7.4,10.1,16.5,4.8
-19900430,NA,0,4.1,10.5,12.4,20.1,5.1
-19900501,NA,0,10,10.7,14.3,22.7,5
-19900502,NA,0,11.3,10.3,16.4,23.7,8
-19900503,NA,0,11.6,9,14.5,21.8,6
-19900504,NA,0,12,9.9,15.3,24.1,6.2
-19900505,NA,0,12,10.2,16.5,26.2,7.2
-19900506,NA,0,12.1,9.2,17.3,27.1,7.8
-19900507,NA,0,9.3,9.5,18.2,27.3,8.2
-19900508,NA,4.1,2.4,12.4,13.4,23.2,10.3
-19900509,NA,5.5,7.5,13.2,16.5,24.4,9.3
-19900510,NA,0.7,10.1,13.9,16.9,25,10.4
-19900511,NA,2.5,4.6,13.2,13.3,19.7,11.2
-19900512,NA,0,7.1,10.5,13.9,20.4,9.4
-19900513,NA,0,11.3,9,13.7,21.1,6.7
-19900514,NA,0,7.4,8.8,13,19.1,5.9
-19900515,NA,0,11.9,9.2,14.6,23,4.9
-19900516,NA,0.1,4.9,11.4,16,23.8,8.2
-19900517,NA,0,7.3,10,16,22.1,11
-19900518,NA,0,3.9,7.7,11.9,17.5,9.5
-19900519,NA,0,11.8,7.7,13.2,20.2,3.7
-19900520,NA,0,11.7,7.8,14,21.1,4.5
-19900521,NA,0,9.4,9.3,15.2,22.4,5.3
-19900522,NA,0,8.7,10.1,16.3,23.4,10.3
-19900523,NA,1.9,5.5,12.2,17.5,26.6,7.4
-19900524,NA,0,1.5,10.1,16.4,20.8,13
-19900525,NA,0,3.5,7.3,12,15.5,9
-19900526,NA,0,11.1,6.6,12.1,18,4
-19900527,NA,0,11.7,6.9,11.4,19.1,3.3
-19900528,NA,0,4.5,7.5,11.1,15.5,7.3
-19900529,NA,0,10.6,7.3,12.8,19.5,3.9
-19900530,NA,0,10,6.6,14.1,21.8,4.3
-19900531,NA,0,9.4,8.2,15.5,23.7,6
-19900601,NA,0,6.1,10,18.5,25.7,10.3
-19900602,NA,18.4,2.1,13.2,14.2,23,10.8
-19900603,NA,1.4,3.7,10.3,14.3,23.6,9.2
-19900604,NA,2.1,5.1,10.9,13.1,18.1,10.6
-19900605,NA,0,6.8,9.7,14.3,19.3,9.6
-19900606,NA,0,0,11.4,14.7,19.2,7.5
-19900607,NA,5.1,1.5,13.5,16.2,19.9,12.7
-19900608,NA,15.5,0,13,12.4,15.6,7.3
-19900609,NA,1,1.5,10.7,12,16.1,7.3
-19900610,NA,42,0,12.2,11.3,12.4,8.8
-19900611,NA,0,0,12.1,12.8,15.2,10.8
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-19990216,NA,7.1,0.6,5.7,1.9,5.2,0
-19990217,NA,0.1,4.2,4.3,0.5,2.6,-0.2
-19990218,NA,0,1.6,4.7,0.7,3.9,-0.7
-19990219,NA,6.1,0,7.5,5.5,7.5,-0.6
-19990220,NA,0.4,0.1,7.1,3.8,7.8,1.4
-19990221,NA,4.1,0.5,6.2,4.7,6.5,1.6
-19990222,NA,0.1,4,4.9,2.9,5.2,1.9
-19990223,NA,2.4,0.8,5.4,2,3.2,1.4
-19990224,NA,0,1.7,5.3,2.2,5.5,0.6
-19990225,NA,1.1,7.4,4.5,1.9,4.6,-1.6
-19990226,NA,0,1.3,6.3,5.8,9.8,1.9
-19990227,NA,0.1,8.1,6.1,8.6,14,0.1
-19990228,NA,0,8.3,6.5,7,11.8,5.5
-19990301,NA,8,0.2,7.7,9.3,10.6,5.1
-19990302,NA,8.8,0,10.7,9.7,11,7.1
-19990303,NA,0,0.8,8.7,9.4,13.1,7
-19990304,NA,1.1,1.1,8.2,8.2,12,5.7
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-19990306,NA,0.4,3.9,5.8,5.4,8.5,3.3
-19990307,NA,0,0.9,4.9,1.6,6.5,-0.8
-19990308,NA,0.5,9.5,5.2,3.4,10.1,-2.6
-19990309,NA,1.6,0,7.2,5.8,7.7,2.5
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-19990314,NA,0,0.2,8,7.4,11.7,2.1
-19990315,NA,0,3.5,6.8,6.4,12.9,2.6
-19990316,NA,0,0,5.6,2.8,5.1,2.3
-19990317,NA,0,8.5,4.8,1.6,8,-3.2
-19990318,NA,0,10.3,4.8,3.6,11.8,-2.8
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-19990320,NA,0.5,0.3,6.2,4.3,6.6,2.9
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-19990328,NA,0.5,0,8.1,5.2,9.1,4.9
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-19990331,NA,0,6.2,8.5,9,17.2,2.8
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-19990402,NA,0,8.5,7.2,10.6,19.2,1.7
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-19990405,NA,0.7,2.9,11.7,12.2,17,10.5
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-19990408,NA,0.7,0.5,8.9,9.4,12.3,6.4
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diff --git a/data/regions/jena/fields.tif b/data/regions/jena/fields.tif
deleted file mode 100644
index 1d5e88a54c96f855db61aa135e1f6c62dd486f26..0000000000000000000000000000000000000000
Binary files a/data/regions/jena/fields.tif and /dev/null differ
diff --git a/data/regions/jena/landcover.tif b/data/regions/jena/landcover.tif
deleted file mode 100644
index 839afe968b6e110aab2f8ea9dd44274c01ace912..0000000000000000000000000000000000000000
Binary files a/data/regions/jena/landcover.tif and /dev/null differ
diff --git a/data/regions/jena/weather.csv b/data/regions/jena/weather.csv
deleted file mode 100644
index 50bfa377c38ee6b21130ef4ec88a7eb26a0b90b6..0000000000000000000000000000000000000000
--- a/data/regions/jena/weather.csv
+++ /dev/null
@@ -1,12419 +0,0 @@
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-19951107,1.7,2.4,0,7,4.2,4.6,3.8
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-19951116,2.6,3.6,2.1,10.4,11,13.3,8.6
-19951117,1.5,6.8,0,7,2.6,11.4,0.6
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-19951126,1.9,0,6.6,5.9,2.6,8,0.8
-19951127,1.4,0,5.2,5.1,0.5,7,-2.1
-19951128,1,0,0,4.9,-1.2,-0.1,-2.8
-19951129,0.9,0,0,5.7,0.8,1.1,-0.5
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-19951204,1.9,3,0,4.4,-2.1,-0.4,-3.4
-19951205,2.4,0.7,0,3.4,-4.5,-3.2,-5.2
-19951206,1.8,0.2,0,3.3,-4.6,-3.3,-7
-19951207,1.2,0,0,4.7,-1.4,-1,-3.4
-19951208,1.1,0.2,0.7,4.4,-2.9,0.7,-5
-19951209,1.2,0,3.9,4.4,-3.2,-1.1,-4.8
-19951210,1,0,0,5.1,-1,0.3,-3.6
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-19951212,2.3,0.8,0.1,5.6,0.6,3.1,0
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diff --git a/data/regions/thueringer_becken/fields.tif b/data/regions/thueringer_becken/fields.tif
deleted file mode 100644
index 13215a12706d86af059dd631404182e54d94ad18..0000000000000000000000000000000000000000
Binary files a/data/regions/thueringer_becken/fields.tif and /dev/null differ
diff --git a/data/regions/thueringer_becken/landcover.tif b/data/regions/thueringer_becken/landcover.tif
deleted file mode 100644
index 78ff8821878a76d4b1c4697a9079d722e4d379e3..0000000000000000000000000000000000000000
Binary files a/data/regions/thueringer_becken/landcover.tif and /dev/null differ
diff --git a/data/regions/thueringer_becken/weather.csv b/data/regions/thueringer_becken/weather.csv
deleted file mode 100644
index c0b1fdf283264d5efe61ec0ec3d902449114db2d..0000000000000000000000000000000000000000
--- a/data/regions/thueringer_becken/weather.csv
+++ /dev/null
@@ -1,12419 +0,0 @@
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-20231005,NA,0,NA,11.4,13.8,17.2,10.2
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-20231017,NA,0,NA,7,4,11.5,-0.6
-20231018,NA,8.5,NA,7.3,4.6,13,-1
-20231019,NA,1.7,NA,11.9,10.6,14.8,7.2
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diff --git a/guiparams.toml b/guiparams.toml
deleted file mode 100644
index 25af5f54f1bce79037b719acd2f38fcc3a80a453..0000000000000000000000000000000000000000
--- a/guiparams.toml
+++ /dev/null
@@ -1,43 +0,0 @@
-### Persefone.jl - a model of agricultural landscapes and ecosystems in Europe.
-###
-### This is the default configuration file for Persefone, containing all model parameters.
-### The syntax is described here: https://toml.io/en/
-###
-### DO NOT MODIFY THIS FILE FOR SIMULATION EXPERIMENTS!
-### Instead, copy it to another directory and modify the copy.
-
-[core]
-configfile = "guiparams.toml" # location of the configuration file
-outdir = "desktop_results" # location and name of the output folder
-overwrite = true # overwrite the output directory? (true/false/"ask")
-logoutput = "both" # log output to screen/file/none/both
-csvoutput = false # save collected data in CSV files
-visualise = false # generate result graphs
-storedata = true # keep collected data in memory
-loglevel = "info" # verbosity level: "debug", "info", "warn"
-processors = 2 # number of processors to use on parallel runs
-seed = 2 # seed value for the RNG (0 -> random value)
-# dates to start and end the simulation
-startdate = 2021-01-01
-enddate = 2023-12-31
-
-[world]
-mapdirectory = "data/regions/jena-small" # the directory in which all geographic data are stored
-mapresolution = 10 # map resolution in meters
-landcovermap = "landcover.tif" # name of the landcover map in the map directory
-farmfieldsmap = "fields.tif" # name of the field geometry map in the map directory
-weatherfile = "weather.csv" # name of the weather data file in the map directory
-
-[farm]
-farmmodel = "BasicFarmer" # which version of the farm model to use
-setaside = 0.04 # proportion of farm area set aside as fallow
-fieldoutfreq = "daily" # output frequency for crop/field data, daily/monthly/yearly/end/never
-
-[nature]
-targetspecies = ["Skylark"] # species to be simulated
-popoutfreq = "daily" # output frequency population-level data, daily/monthly/yearly/end/never
-indoutfreq = "daily" # output frequency individual-level data, daily/monthly/yearly/end/never
-
-[crop]
-cropmodel = "almass" # crop growth model to use, "almass" or "aquacrop"
-cropdirectory = "data/crops/almass" # the directory storing all data files for the selected crop model
diff --git a/screenshot.png b/screenshot.png
deleted file mode 100644
index 6934cbfd02e40ebebd1cf1cbfdec3825a0572297..0000000000000000000000000000000000000000
Binary files a/screenshot.png and /dev/null differ
diff --git a/src/logic.jl b/src/logic.jl
index 729f10580dfa17a888058b46e3f1f0bdf39c14d2..9e67048068dadb8173aac3482b45722b86e9186a 100644
--- a/src/logic.jl
+++ b/src/logic.jl
@@ -8,7 +8,29 @@
running[] = false
progress[] = 0.0
@yield 1
- model = initialise(configfile[])
+ model = initialise(params = Dict("core.outdir"=>outdir[], #XXX user config file?
+ "core.overwrite"=>true,
+ "core.csvoutput"=>csvoutput[],
+ "core.logoutput"=>logoutput[],
+ "core.visualise"=>visualise[],
+ "core.storedata"=>true,
+ "core.loglevel"=>loglevel[],
+ "core.processors"=>processors[],
+ "core.seed"=>seed[],
+ "core.startdate"=>Date(startdateyear[],
+ startdatemonth[],
+ startdateday[]),
+ "core.enddate"=>Date(enddateyear[],
+ enddatemonth[],
+ enddateday[]),
+ "world.mapdirectory"=>joinpath("data/regions", region[]),
+ "farm.farmmodel"=>farmmodel[],
+ "farm.setaside"=>setaside[],
+ "nature.targetspecies"=>[species[]],
+ "nature.popoutfreq"=>"daily",
+ "nature.indoutfreq"=>"daily",
+ "crop.cropmodel"=>cropmodel[],
+ "crop.cropdirectory"=>joinpath("data/crops", cropmodel[])))
@yield 1
model.date -= Day(1)
Persefone.outputdata(model, true) # record data before run starts
diff --git a/src/variables.jl b/src/variables.jl
index 45a2f1ecd1ddffe37c873fbe5b6b4192c537a6f0..818eb1b6ed0aaf9427f99708dbe9775d092a622c 100644
--- a/src/variables.jl
+++ b/src/variables.jl
@@ -13,7 +13,6 @@ global timer = nothing
global mapimage = nothing
global plotimage = nothing
-const configfile = Observable(joinpath(pkgdir(PersefoneDesktop), "guiparams.toml"))
const launching = Observable(false)
const running = Observable(false)
const ticks = Observable(0)
@@ -29,20 +28,26 @@ const runbuttontip = Observable("Run")
const userconfigfile = Observable("userconfig.toml") #XXX not yet needed
const outdir = Observable("persefone_output")
const csvoutput = Observable(false)
+const logoutput = Observable("both")
+const visualise = Observable(false)
const loglevel = Observable("warn")
const processors = Observable(1)
-const seed = Observable(2)
+const seed = Observable(0)
const startdateday = Observable(1)
const startdatemonth = Observable(1)
const startdateyear = Observable(2021)
const enddateday = Observable(31)
const enddatemonth = Observable(12)
-const enddateyear = Observable(2022)
-const region = Observable("Jena")
-const farmmodel = Observable("BasicFarmer")
+const enddateyear = Observable(2023)
+const region = Observable("jena-small")
+const farmmodel = Observable("BasicFarmer") #XXX alternatives not yet implemented
+const setaside = Observable(0.04)
const species = Observable("Skylark")
#const targetspecies = Observable() #TODO not sure how to configure a list?
-const cropmodel = Observable("ALMaSS") #XXX alternatives not yet implemented
+const popoutfreq = Observable("daily") #necessary
+const indoutfreq = Observable("daily") #necessary
+const cropmodel = Observable("almass") #XXX alternatives not yet implemented
+const cropdirectory = Observable("data/crops/almass") #change with crop model
## the property list passed to QML