// Field site vegetation characteristics from projects in western USA.varfc=ee.FeatureCollection('BLM/AIM/v1/TerrADat/TerrestrialAIM').filter('ProjectName == "Colorado NWDO Kremmling FO 2016"');// Display field plots on the map.Map.setCenter(-107.792,39.871,7);Map.addLayer(fc);// Compare the per-feature values of two properties and filter the collection// based on the results of various relational expressions. The two properties// to compare are invasive and non-invasive annual forb cover at each plot.varleftProperty='InvAnnForbCover_AH';varrightProperty='NonInvAnnForbCover_AH';print('Plots where invasive forb cover is…');print('…EQUAL to non-invasive cover',fc.filter(ee.Filter.equals({leftField:leftProperty,rightField:rightProperty})));print('…NOT EQUAL to non-invasive cover',fc.filter(ee.Filter.notEquals({leftField:leftProperty,rightField:rightProperty})));print('…LESS THAN non-invasive cover',fc.filter(ee.Filter.lessThan({leftField:leftProperty,rightField:rightProperty})));print('…LESS THAN OR EQUAL to non-invasive cover',fc.filter(ee.Filter.lessThanOrEquals({leftField:leftProperty,rightField:rightProperty})));print('…GREATER THAN non-invasive cover',fc.filter(ee.Filter.greaterThan({leftField:leftProperty,rightField:rightProperty})));print('…GREATER THAN OR EQUAL to non-invasive cover',fc.filter(ee.Filter.greaterThanOrEquals({leftField:leftProperty,rightField:rightProperty})));print('…is not greater than 10 percent different than non-invasive cover',fc.filter(ee.Filter.maxDifference({difference:10,leftField:leftProperty,rightField:rightProperty})));// Instead of comparing values of two feature properties using the leftField// and rightField parameters, you can compare a property value (leftProperty)// against a constant value (rightValue).print('Plots where invasive forb cover is greater than 20%',fc.filter(ee.Filter.greaterThan({leftField:leftProperty,rightValue:20})));// You can also swap the operands to assign the constant to the left side of// the relational expression (leftValue) and the feature property on the right// (rightField). Here, we get the complement of the previous example.print('Plots where 20% is greater than invasive forb cover.',fc.filter(ee.Filter.greaterThan({leftValue:20,rightField:leftProperty})));// Binary filters are useful in joins. For example, group all same-site plots// together using a saveAll join.vargroupingProp='SiteID';varsitesFc=fc.distinct(groupingProp);varjoinFilter=ee.Filter.equals({leftField:groupingProp,rightField:groupingProp});vargroupedPlots=ee.Join.saveAll('site_plots').apply(sitesFc,fc,joinFilter);print('List of plots in first site',groupedPlots.first().get('site_plots'));

# Field site vegetation characteristics from projects in western USA.fc=ee.FeatureCollection('BLM/AIM/v1/TerrADat/TerrestrialAIM').filter('ProjectName == "Colorado NWDO Kremmling FO 2016"')# Display field plots on the map.m=geemap.Map()m.set_center(-107.792,39.871,7)m.add_layer(fc)display(m)# Compare the per-feature values of two properties and filter the collection# based on the results of various relational expressions. The two properties# to compare are invasive and non-invasive annual forb cover at each plot.left_property='InvAnnForbCover_AH'right_property='NonInvAnnForbCover_AH'display('Plots where invasive forb cover is…')display('…EQUAL to non-invasive cover',fc.filter(ee.Filter.equals(leftField=left_property,rightField=right_property)),)display('…NOT EQUAL to non-invasive cover',fc.filter(ee.Filter.notEquals(leftField=left_property,rightField=right_property)),)display('…LESS THAN non-invasive cover',fc.filter(ee.Filter.lessThan(leftField=left_property,rightField=right_property)),)display('…LESS THAN OR EQUAL to non-invasive cover',fc.filter(ee.Filter.lessThanOrEquals(leftField=left_property,rightField=right_property)),)display('…GREATER THAN non-invasive cover',fc.filter(ee.Filter.greaterThan(leftField=left_property,rightField=right_property)),)display('…GREATER THAN OR EQUAL to non-invasive cover',fc.filter(ee.Filter.greaterThanOrEquals(leftField=left_property,rightField=right_property)),)display('…is not greater than 10 percent different than non-invasive cover',fc.filter(ee.Filter.maxDifference(difference=10,leftField=left_property,rightField=right_property)),)# Instead of comparing values of two feature properties using the leftField# and rightField parameters, you can compare a property value (left_property)# against a constant value (rightValue).display('Plots where invasive forb cover is greater than 20%',fc.filter(ee.Filter.greaterThan(leftField=left_property,rightValue=20)),)# You can also swap the operands to assign the constant to the left side of# the relational expression (leftValue) and the feature property on the right# (rightField). Here, we get the complement of the previous example.display('Plots where 20% is greater than invasive forb cover.',fc.filter(ee.Filter.greaterThan(leftValue=20,rightField=left_property)),)# Binary filters are useful in joins. For example, group all same-site plots# together using a saveAll join.grouping_prop='SiteID'sites_fc=fc.distinct(grouping_prop)join_filter=ee.Filter.equals(leftField=grouping_prop,rightField=grouping_prop)grouped_plots=ee.Join.saveAll('site_plots').apply(sites_fc,fc,join_filter)display('List of plots in first site',grouped_plots.first().get('site_plots'))