raster function aggregate

Multiple variables are separated by comma. The rf_tile_stats function computes summary statistics separately for each row in a tile column as shown below. "isDataset": false, }, Copyright © 2020 Esri. ", Aggregate a SpatialPolygon* object, optionally by combining polygons that have the same attributes for one or more variables. Syntax:{ "jobId": "", "jobStatus": "" }. MEDIAN — The median value of the input cells. The tiles will contain normally distributed cell values with the first row’s mean at 1.0 and the second row’s mean at 3.0. Each output cell contains the Sum, Minimum, Maximum, Mean, or Median of the input cells that are encompassed by the extent of that cell. Aggregate.rft.xml is a sample grouping raster function template with only one input: the collection of rasters to aggregate. The variable or variables that will be aggregated along the given dimension. outputName={"serviceProperties": {“name”: ”aggregated_watertemp_salinity”, ”capabilities”: ”image, metadata”}}. To determine the output raster's resolution when an integer cell size has been specified, multiply the cell resolution of the analysis environment by the input cell factor parameter. Learn more, Code navigation not available for this commit, Cannot retrieve contributors at this time, "This function aggregates pixel values over a collection of overlapping single-band rasters. You can also supply a vector with a length of length(x), list with function(s) and variable(s) to summarize. You can use gdalUtils::gdalwarp for this. Raster* objects: Aggregate a Raster* object to create a new RasterLayer or RasterBrick with a lower resolution (larger cells). It can be created from a function chain or a custom Python raster function. Establishes how the value for each output cell will be determined. "_object_id": 7 Syntax: A string containing the variables. The output hosted image service is stored in raster store and shared on either the Raster Analysis Image Server or Image Hosting Image Server depending on the Enterprise configuration. Specifies whether NoData values are ignored in the analysis. If the cell size for the analysis environment is set to the minimum or maximum of the inputs, the resolution of the output raster will be the product of the input raster's resolution multiplied by the specified cell factor. If multiple inputs are given, the itemId takes priority. Overview. "isPublic": false, ", "The method indicating how overlapping pixels of the input rasters are aggregated. In the latter two cases, when vector data is the grouping column, the results are zonal statistics. }, The response format. OutRas = Aggregate(InRas1, 3, Max, Expand, Data) Usage. outputName={“uri”: } All rights reserved. Output hosted image service properties. The Aggregate tool resamples an input raster to a coarser resolution based on a specified aggregation strategy (Sum, Min, Max, Mean, or Median).. Likewise, bathymetry values above mean sea level are encoded as 0.. "_object_id": 1 "value": 1, Syntax: Two types of syntax are supported: Example of one time interval range:intervalRanges=2013-03-15T00:00:00 2013-03-15:09:00:00 "isPublic": false, You signed in with another tab or window. Generates a reduced-resolution version of a raster. }, EXPAND — Expands the bottom or right boundaries of the input raster so the total number of cells in a row or column is a multiple of the cell factor. The factor by which to multiply the cell size of the input raster to obtain the desired resolution for the output raster. This example aggregates a raster by averaging the values with a cell factor of 3 and outputs a TIFF raster. The mean of each tile is computed separately, so the first mean is about 1.0 and the second mean is about 3.0. The Portal Item ID, Image Service URL, cloud multidimensional raster dataset or shared multidimensional raster dataset. In the element-wise local aggregate functions, we are computing the element-wise statistical summary across a DataFrame or group of tiles. "value": 1, MAXIMUM — The largest value of the input cells. "isDataset": false, The variables (column names or numbers) that should be used to aggregate (dissolve) the SpatialPolygons by only maintaining unique combinations of these variables. The content of the value is always the output raster dataset's itemId and image service URL. The rf_tile_stats function computes summary statistics separately for each row in a tile column as shown below. ArcGIS for Desktop Basic: Requires Spatial Analyst, ArcGIS for Desktop Standard: Requires Spatial Analyst, ArcGIS for Desktop Advanced: Requires Spatial Analyst. }, "UndefinedClass": { This task has the following settings: Examplecontext={"cellSize": "20", "parallelProcessingFactor": "4"}. Unchecked—Reduces the number of rows or columns in the output raster. The input raster to aggregate. Example of multiple time interval ranges: (Optional; Required when aggregationMethod is CUSTOM). For example, a cell factor value of three would result in an output cell size three times larger than that of the input raster. "isPublic": false, "_object_id": 4 MEAN — The average value of the input cells. "isPublic": false, We use the rf_agg_local_mean function to compute the element-wise local aggregate mean across the two rows. For example, fact=2 will result in a new Raster* object with 2*2=4 times fewer cells. Or two integers (horizontal and vertical aggregation factor) or three integers (when also aggregating over layers). The function fun should take multiple numbers, and return a single number. In the case of aggregate, you need to specify a function determining what to do with the grouped cell values mean.

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