chrispahm

{
  "konventionell/integriert::Mais - Körnermais::wendend, gezogene Saatbettbereitung, Saat": {
    "varCosts": [429.2100054682, -2.15585823294687, 0.0113375527390382, 4.67166502967974, -0.0335173702325071, 0.0108466768551407],
    "fixCosts": [404.644339578215, -2.99848438883808, 0.0126061380285447, 3.57776575875562, -0.030297488509476, 0.0154255499402457],
    "diesel": [87.6239368617408, -0.970760779480302, 0.00596949331439337, 2.51384452879148, -0.0162398685694236, 0.00415596692077977],
    "kea": [40012.9253842185, -63.8546762633683, 0.408415311367651, 143.360060954624, -0.962513851783179, 0.282736820138856],
    "JAN": [0, 0, 0, 0, 0, 0],
    "FEB": [0, 0, 0, 0, 0, 0],
    "MRZ": [0.22692954207248, -0.0135910629678798, 0.000262785707520569, 0.000888304021087536, -0.00000830077546462287, 0.0000543155715838675],
    "APR": [3.37830550032205, -0.245688387844083, 0.00497703379193492, 0.138751083557847, -0.00128187705085698, -0.000338751739448481],

chrispahm

{"konventionell/integriert::Sommerackerbohnen - Körnergewinnung::wendend, gezogene Saatbettbereitung, Saat":{"varCosts":[212.028611980753,-4.68966868737025,0.0488360857650367,2.91253832080648,-0.0284166263449593,-0.00618019572180368],"fixCosts":[321.038508396658,-6.61332451954161,0.0663431421309443,1.93204071200841,-0.012795353655188,0.00778511329712469],"JAN":[0,0,0,0,0,0],"FEB":[0,0,0,0,0,0],"MRZ":[2.80509595582486,-0.146695350409434,0.00156690523636225,0.108294573638782,-0.00123831574877968,-0.00061945243526232],"APR":[0,0,0,0,0,0],"MAI":[0.769781312041604,-0.0529379530852461,0.000585216504612539,0.0546266750575244,-0.000640613220174498,-0.000406597232317381],"JUN":[0,0,0,0,0,0],"JUL":[0,0,0,0,0,0],"AUG":[1.86633079569951,-0.0572765991525298,0.000582771489512085,0.0236532608257089,-0.000127973685059161,-0.000084942909915301],"SEP":[0.925680932233967,-0.0309942393637948,0.000308753108504588,0.00952975868691227,-0.0000713385421707318,0.0000301986540459087],"OKT":[2.48797194677527,-0.0598464953546542,0.000577

chrispahm

{"konventionell/integriert::Sommerackerbohnen - Körnergewinnung::wendend, gezogene Saatbettbereitung, Saat":[{"year":2018,"yield":35.8,"price":17.91,"revenue":641,"seeds":93,"fertilizer":45,"pesticides":119,"others":83,"sdb":301,"varCosts":340},{"year":2017,"yield":34.1,"price":17.79,"revenue":607,"seeds":99,"fertilizer":45,"pesticides":115,"others":79,"sdb":269,"varCosts":338},{"year":2016,"yield":35.1,"price":17.16,"revenue":602,"seeds":128,"fertilizer":62,"pesticides":113,"others":81,"sdb":217,"varCosts":385},{"year":2015,"yield":38,"price":19.3,"revenue":734,"seeds":131,"fertilizer":65,"pesticides":113,"others":89,"sdb":336,"varCosts":398},{"year":2014,"yield":34.4,"price":20.82,"revenue":717,"seeds":126,"fertilizer":49,"pesticides":112,"others":82,"sdb":347,"varCosts":369},{"year":2013,"yield":32.2,"price":24.32,"revenue":783,"seeds":129,"fertilizer":53,"pesticides":112,"others":78,"sdb":411,"varCosts":373},{"year":2012,"yield":28.9,"price":19.49,"revenue":563,"seeds":119,"fertilizer":56,"pesticides":109

chrispahm

var coeff = [
  [1,0],
  [2,0],
  [3,0],
  [4,0],
  [0,1],
  [1,1],
  [2,1],
  [3,1],
  [0,2],

chrispahm

JPG:
$ brew install jpegoptim
$ mkdir lowRes
$ sips -Z 1024 *.jpg --out lowRes
$ cd lowRes
$ find . -name "*.jpg" -exec jpegoptim -m80 -o -p --strip-all {} \;

- PNG:
$ brew install optipng
$ mkdir lowRes

chrispahm

// open the developer console in Atom (ctrl-shift-i on Windows)
// and paste the following code in order to get a list of all
// active parameters currently used in the GAMS model
global.gamsView.filter(elem => {
  function checkRef(ref) {
    let flag = false
    ref.forEach(ref => {
      if (ref.file.includes('templ.gms') || ref.file.includes('model')) flag = true
    })
    return flag

chrispahm

/*************************************************************
     * Method: lstParse
     * Scope: Public:
     * Agruments: listingFile: The GAMS listingFile file to interpreted 
     			  model: The model we want solver to operate on
     * Purpose: Convert the results of a GAMS CPLEX solve to a 
     * 			friendly JSON similar to the one generated by
     *			the jsLPsolver
     **************************************************************/
	// Check model status, and only proceed if status code is in modelStatus-Array

chrispahm

	 /*************************************************************
     * Method: reformatGAMS
     * Scope: Public:
     * Agruments: model: The model we want solver to operate on
     			  optcr: Termination tolerance
     * Purpose: Convert a friendly JSON model into a model for a
     *          real solving library...in this case
     *          GAMS
     **************************************************************/
	//    this.reformatGAMS = function (model, optcr) {

chrispahm

# GAMS run init script
#
# This atom init script will execute the current GAMS file
# and subsequently open the according listing (.lst) file
# An example hack to log to the console when each text editor is saved.
# You would need to have linter-gams installed and adjust the below filepaths
# to your needs

atom.commands.add 'atom-text-editor', 'gams:run', =>
  return unless editor = atom.workspace.getActiveTextEditor()

chrispahm

var resizedPoly = turf.transformScale(polygon, 1000)

Draw.add(resizedPoly)
Draw.add(turf.simplify(resizedPoly, {tolerance: 0.05, highQuality: true}))
Draw.add(turf.simplify(resizedPoly, {tolerance: 0.4, highQuality: true}))
vorgewende.lineString(turf.simplify(resizedPoly, {tolerance: 0.05, highQuality: true}),38)
map.fitBounds(turf.bbox(resizedPoly))