お知らせ :
2025 年 4 月 15 日 より前に Earth Engine の使用を登録したすべての非商用プロジェクトは、アクセスを維持するために
非商用目的での利用資格を確認 する必要があります。2025 年 9 月 26 日までに確認が完了していない場合、アクセスが保留されることがあります。
フィードバックを送信
ee.Filter.maxDifference
コレクションでコンテンツを整理
必要に応じて、コンテンツの保存と分類を行います。
: 左オペランドと右オペランド(両方とも数値)の差が指定された最大差の範囲内にある場合にパスする単項または二項フィルタを作成します。結合条件として使用される場合、この数値の差は結合指標として使用されます。
用途 戻り値 ee.Filter.maxDifference(difference, leftField , rightValue , rightField , leftValue )
フィルタ
引数 タイプ 詳細 difference
浮動小数点数 フィルタが true を返す最大差。 leftField
文字列、デフォルト: null 左オペランドのセレクタ。leftValue が指定されている場合は指定しないでください。 rightValue
オブジェクト、デフォルト: null 右オペランドの値。rightField が指定されている場合は指定しないでください。 rightField
文字列、デフォルト: null 右オペランドのセレクタ。rightValue が指定されている場合は指定しないでください。 leftValue
オブジェクト、デフォルト: null 左オペランドの値。leftField が指定されている場合は指定しないでください。
例
コードエディタ(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 の設定
Python API とインタラクティブな開発での geemap
の使用については、
Python 環境 のページをご覧ください。
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' ))
フィードバックを送信
特に記載のない限り、このページのコンテンツはクリエイティブ・コモンズの表示 4.0 ライセンス により使用許諾されます。コードサンプルは Apache 2.0 ライセンス により使用許諾されます。詳しくは、Google Developers サイトのポリシー をご覧ください。Java は Oracle および関連会社の登録商標です。
最終更新日 2025-07-26 UTC。
ご意見をお聞かせください
[[["わかりやすい","easyToUnderstand","thumb-up"],["問題の解決に役立った","solvedMyProblem","thumb-up"],["その他","otherUp","thumb-up"]],[["必要な情報がない","missingTheInformationINeed","thumb-down"],["複雑すぎる / 手順が多すぎる","tooComplicatedTooManySteps","thumb-down"],["最新ではない","outOfDate","thumb-down"],["翻訳に関する問題","translationIssue","thumb-down"],["サンプル / コードに問題がある","samplesCodeIssue","thumb-down"],["その他","otherDown","thumb-down"]],["最終更新日 2025-07-26 UTC。"],[],["The `ee.Filter.maxDifference` function creates a filter for numeric comparisons. It checks if the difference between two numbers (operands) is within a specified maximum. Operands can be specified as feature properties (`leftField`, `rightField`) or constant values (`leftValue`, `rightValue`). The filter returns `true` if the numeric difference is within the defined limit. In joins, it serves as a numeric join measure. Example code demonstrates how to apply different filter comparisons and joins.\n"]]