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의견 보내기
ee.Filter.greaterThanOrEquals
컬렉션을 사용해 정리하기
내 환경설정을 기준으로 콘텐츠를 저장하고 분류하세요.
왼쪽 피연산자가 오른쪽 피연산자보다 작지 않은 경우 통과하는 단항 또는 이항 필터를 만듭니다.
사용 반환 값 ee.Filter.greaterThanOrEquals(leftField , rightValue , rightField , leftValue )
필터
인수 유형 세부정보 leftField
문자열, 기본값: null 왼쪽 피연산자의 선택기입니다. leftValue가 지정된 경우 지정하면 안 됩니다. rightValue
객체, 기본값: null 오른쪽 피연산자의 값입니다. rightField가 지정된 경우 지정하면 안 됩니다. rightField
문자열, 기본값: null 오른쪽 피연산자의 선택기입니다. rightValue가 지정된 경우 지정하면 안 됩니다. leftValue
객체, 기본값: null 왼쪽 피연산자의 값입니다. leftField가 지정된 경우 지정하면 안 됩니다.
예
코드 편집기 (JavaScript)
// Field site vegetation characteristics from projects in western USA.
var fc = 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.
var leftProperty = 'InvAnnForbCover_AH' ;
var rightProperty = '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.
var groupingProp = 'SiteID' ;
var sitesFc = fc . distinct ( groupingProp );
var joinFilter = ee . Filter . equals (
{ leftField : groupingProp , rightField : groupingProp });
var groupedPlots = ee . Join . saveAll ( 'site_plots' ). apply ( sitesFc , fc , joinFilter );
print ( 'List of plots in first site' , groupedPlots . first (). get ( 'site_plots' ));
Python 설정
Python API 및 geemap
를 사용한 대화형 개발에 관한 자세한 내용은
Python 환경 페이지를 참고하세요.
import ee
import geemap.core as geemap
Colab (Python)
# 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 % i s 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' ))
의견 보내기
달리 명시되지 않는 한 이 페이지의 콘텐츠에는 Creative Commons Attribution 4.0 라이선스 에 따라 라이선스가 부여되며, 코드 샘플에는 Apache 2.0 라이선스 에 따라 라이선스가 부여됩니다. 자세한 내용은 Google Developers 사이트 정책 을 참조하세요. 자바는 Oracle 및/또는 Oracle 계열사의 등록 상표입니다.
최종 업데이트: 2025-07-26(UTC)
의견을 전달하고 싶나요?
[[["이해하기 쉬움","easyToUnderstand","thumb-up"],["문제가 해결됨","solvedMyProblem","thumb-up"],["기타","otherUp","thumb-up"]],[["필요한 정보가 없음","missingTheInformationINeed","thumb-down"],["너무 복잡함/단계 수가 너무 많음","tooComplicatedTooManySteps","thumb-down"],["오래됨","outOfDate","thumb-down"],["번역 문제","translationIssue","thumb-down"],["샘플/코드 문제","samplesCodeIssue","thumb-down"],["기타","otherDown","thumb-down"]],["최종 업데이트: 2025-07-26(UTC)"],[],["The code filters a `FeatureCollection` based on relational expressions between properties or between a property and a constant value. It uses `ee.Filter` methods like `equals`, `notEquals`, `lessThan`, `greaterThan`, `lessThanOrEquals`, `greaterThanOrEquals`, and `maxDifference`. These filters compare properties (`leftField`, `rightField`) or values (`leftValue`, `rightValue`). Finally, they are applied in joins to group same-site plots.\n"]]