The multipatchOption parameter supports a new extent value.For more information on this parameter, see the Request parameters table below. Setting timeReferenceUnknownClient as trueindicates that the client is capable of working with date field data values A new parameter, timeReferenceUnknownClient, has been added at 10.9.This property describes the spatial relationships (the spatialRel parameter) supported when querying the layer. Features added throughout earlier releases New at 10.9.1Ī supportedSpatialRelationships property may be provided on the layer resource. Hosted feature services using a spatiotemporal data store do not currently support pagination on aggregated queries. To use pagination with aggregated queries (queries using either returnDistinctValues or outStatistics with groupByFieldsForStatistics) on hosted feature services in ArcGIS Enterprise, the supportsPaginationOnAggregatedQueries property must be true on the layer.
You can provide arguments to the query operation defined in the parameters table below. Query with returnDistinctResults defaults to using spatial relation intersects irrespective of a user-selected spatial relation.įor time-aware layers, you can use the time parameter to specify the time instant or the time extent to query.
#Edit exif metadata in python install
Raster Analytics (Tasks) Add Image Aggregate Multidimensional Raster Analyze Change Using CCDC Analyze Changes Using LandTrendr Build Multidimensional Transpose Calculate Density Calculate Distance Calculate Travel Cost Classify Classify Objects Using Deep Learning Classify Pixels Using Deep Learning Compute Accuracy For Object Detection Compute Change Raster Convert Feature to Raster Convert Raster Function Template Convert Raster to Feature Copy Raster Cost Path As Polyline Create Image Collection Create Viewshed Delete Image Delete Image Collection Detect Change Using Change Analysis Raster Detect Objects Using Deep Learning Determine Optimum Travel Cost Network Determine Travel Cost Path as Polyline Determine Travel Cost Paths to Destinations Distance Accumulation Distance Allocation Download Raster Export Training Data For Deep Learning Fill Find Argument Statistics Flow Accumulation Flow Direction Flow Distance Generate Multidimensional Anomaly Generate Raster Generate Trend Raster Install Deep Learning Model Interpolate Points Linear Spectral Unmixing List Deep Learning Models Locate Regions Manage Multidimensional Raster Merge Multidimensional Rasters Nibble Optimal Path As Line Optimal Path As Raster Optimal Region Connections Predict Using Regression Model Predict Using Trend Raster Publish Deep Learning Model Query Deep Learning Model Info Sample Segment Stream Link Subset Multidimensional Raster Summarize Categorical Raster Summarize Raster Within Train Classifier Train Deep Learning Model Train Random Trees Regression Model Uninstall Deep Learning Model Watershed Zonal Statistics As Table
#Edit exif metadata in python update
Feature Service Feature Service Add Attachment Add Features Append (Feature Service) Append (Feature Service/Layer) Apply Edits (Feature Service) Apply Edits (Feature Service/Layer) Attachment (Feature Service) Attachment Infos (Feature Service) Calculate (Feature Service/Layer) Cleanup Change Tracking Create Replica Delete Attachments Delete Features Extract Changes (Feature Service) Feature Get Estimates (Feature Service/Layer) Generate Renderer (Feature Service/Layer) HTML Popup (Feature Service) Image Layer Query (Feature Service) Query (Feature Service/Layer) Query Analytic (Feature Service/Layer) Query Attachments (Feature Service/Layer) Query Data Elements (Feature Service) Query Date Bins (Feature Service/Layer) Query Domains (Feature Service) Query Related Records Query Top Features (Feature Service/Layer) Relationships (Feature Service) Replicas (Feature Service) Replica Info Synchronize Replica Unregister Replica (Feature Service) Update Attachment Update Features Validate SQL (Feature Service/Layer)
0 kommentar(er)
