model builder spatial analyst fails on python export

#Model builder spatial analyst fails on python export series#

MAXIMUM -Determines the largest value of all cells in the value raster that belong to the same zone as the output cell.

MAJORITY -Determines the value that occurs most often of all cells in the value raster that belong to the same zone as the output cell.

MEAN -Calculates the average of all cells in the value raster that belong to the same zone as the output cell.

ALL -All of the statistics will be calculated.

Syntax ZonalStatisticsAsTable(in_zone_data, zone_field, in_value_raster, out_table, ) Parameter See Analysis environments and Spatial Analyst for additional details on the geoprocessing environments that apply to this tool. If you want the tool to use fewer cores, use the parallelProcessingFactor environment setting. The maximum number of cores that can be used is four. The number of rows in the output table is the number of zones.īy default, this tool will take advantage of multi-core processors. See how Zonal Statistics works for the specific behavior of any statistic. The data type for each value under the items in the output table is dependent on the zonal calculation being performed. If the Value input is floating point, the Majority, Minority, Median, and Variety statistics will not be calculated. When the Value input is integer, all of the statistics (Minimum, Maximum, Range, Mean, Standard deviation, Sum, Variety, Majority, Minority, and Median) are available to be calculated.

#Model builder spatial analyst fails on python export series#

See how Zonal Statistics works for more information.Ī field or series of fields will be created in the output table, depending on the setting of the Statistics type. However, when it is floating-point type, the options for calculating majority, median, minority, and variety will not be available.įor majority and minority calculations, when there is a tie, the output for the zone is based on the lowest of the tied values. The Input value raster ( in_value_raster in Python) can be either integer or floating point. If no other valid fields exist, the ObjectID field (for example, OID or FID) will be the default. When specifying the Input raster or feature zone data ( in_zone_data in Python), the default zone field will be the first available integer or text field. Since the feature input is converted to a raster, each location can only have one value.Īn alternative method is to process the zonal operation iteratively for each of the polygon zones and collate the results. If the Input raster or feature zone data ( in_zone_data in Python) has overlapping polygons, the zonal analysis will not be performed for each individual polygon. For such cells, the zone value is determined by the point with the lowest ObjectID field (for example, OID or FID). If the Input raster or feature zone data ( in_zone_data in Python) is a point feature, it is possible to have more than one point contained within any particular cell of the value input raster. You can manage this by determining an appropriate value for the Cell Size environment that will preserve the desired level of detail of the feature zones, and specify it in the analysis environment. As a result, those zones will not be represented in the output. If the Input raster or feature zone data ( in_zone_data in Python) is a feature, for any of the zone features that do not overlap any cell centers of the value raster, those zones will not get converted to the internal zone raster.

If the Input raster or feature zone data ( in_zone_data in Python) is a feature, it will be converted to a raster internally, using the cell size and cell alignment from the Input value raster ( in_value_raster in Python). If the Input raster or feature zone data ( in_zone_data in Python) is a raster, it must be an integer raster. When the zone and value inputs are both rasters of the same cell size and the cells are aligned, they will be used directly in the tool, and will not be resampled internally during the tool execution. Either of these cases will trigger an internal resampling before the zonal operation is performed. If the cell size is same, but the cells are not aligned, the Input value raster will be used as the snap raster internally. When the Cell size of the Input raster or feature zone data ( in_zone_data in Python) and the Input value raster ( in_value_raster in Python) is different, the output cell size will be the Maximum Of Inputs, and the Input value raster will be used as the Snap Raster internally. Both raster and feature can be used for the zone input. Learn more about how Zonal Statistics works Illustration ZonalStatisticsAsTable(ZoneRas, 'Value', ValRas, OutTable, 'ALL') UsageĪ zone is defined as all areas in the input that have the same value. Summarizes the values of a raster within the zones of another dataset and reports the results to a table.