/**** Start of imports. If edited, may not auto-convert in the playground. ****/
var cov = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/coefficient_of_variation_1km"),
    contrast = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/contrast_1km"),
    corr = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/correlation_1km"),
    dissimilarity = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/dissimilarity_1km"),
    entropy = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/entropy_1km"),
    homogeneity = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/homogeneity_1km"),
    maximum = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/maximum_1km"),
    mean = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/mean_1km"),
    pielou = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/pielou_1km"),
    range = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/range_1km"),
    shannon = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/shannon_1km"),
    simpson = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/simpson_1km"),
    sd = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/standard_deviation_1km"),
    uniformity = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/uniformity_1km"),
    variance = ee.Image("projects/sat-io/open-datasets/global_habitat_heterogeneity/variance_1km");
/***** End of imports. If edited, may not auto-convert in the playground. *****/
var cov_vis = {'max': 2000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Coefficient of Variation_1km'}
var ASM1km_vis = {'max': 10000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 300, 'title': 'Uniformity_1km'}
var std1km_vis = {'max': 800, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Standard deviation_1km'}
var ENT1km_vis = {'max': 38000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Entropy_1km'}
var range1km_vis = {'max': 3000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Range_1km'}
var COR1km_vis = {'max': 7000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Correlation_1km'}
var simpson1km_vis = {'max': 10000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 3000, 'title': 'Simpson_1km'}
var VAR1km_vis = {'max': 300000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Variance_1km'}
var pielou1km_vis = {'max': 10000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 5000, 'title': 'Pielou_1km'}
var shannon5km_vis = {'max': 35000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Shannon_5km'}
var HOM1km_vis = {'max': 10000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Homogeneity_1km'}
var DIS1km_vis = {'max': 70000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Dissimilarity_1km'}
var shannon1km_vis = {'max': 27000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Shannon_1km'}
var mean1km_vis = {'max': 8000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Mean_1km'}
var CON1km_vis = {'max': 400000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Contrast_1km'}
var MAX1km_vis = {'max': 8000, 'palette': 'FFFFFF,CE7E45,DF923D,F1B555,FCD163,99B718,74A901,66A000,529400,3E8601,207401,056201,004C00,023B01,012E01,011D01,011301', 'min': 0, 'title': 'Maximum_1km'}

Map.addLayer(cov,cov_vis,'Coefficient of Variation_1km')
Map.addLayer(contrast,CON1km_vis,'Contrast 1 km')
Map.addLayer(corr,COR1km_vis,'Correlation 1 km')
Map.addLayer(dissimilarity,DIS1km_vis,'Dissimilarity 1 km')
Map.addLayer(entropy,ENT1km_vis,'Entropy 1 km')
Map.addLayer(homogeneity,HOM1km_vis,'Homogeneity 1 km')
Map.addLayer(maximum,MAX1km_vis,'Maximum 1 km')
Map.addLayer(mean,mean1km_vis,'Mean 1 km')
Map.addLayer(pielou,pielou1km_vis,'Pielou 1 km')
Map.addLayer(shannon,shannon1km_vis,'Shannon 1 km')
Map.addLayer(simpson,simpson1km_vis,'Simpson 1 km')
Map.addLayer(sd,std1km_vis,'Standard Deviation 1 km')
Map.addLayer(uniformity,ASM1km_vis,'Uniformity 1 km')
Map.addLayer(variance,VAR1km_vis,'Variance 1 km')