Find Argument Statistics (Image Analyst)

Disponible con licencia de Image Analyst.

Disponible con una licencia de Spatial Analyst.

Resumen

Extrae el valor de dimensión o el índice de banda en el que se consigue una determinada estadística para cada píxel de un ráster multidimensional o multibanda.

Uso

• Use the Find Argument Statistics tool to extract the dimension value (for example, the date, height, or depth) at which a specific statistic is reached in the stack of rasters in a multidimensional raster dataset. Alternatively, find the band number at which the statistic is reached in a multiband raster.

  For example, you may want to know the month in which each pixel reached the highest sea surface temperature over 30 years of data collection. Another example is you have an eight-band remote sensing image and you want to know the band in which the minimum reflectance value was reached for each pixel.

• Entre los datasets ráster multidimensionales admitidos se encuentran netCDF, GRIB, HDF y CRF de Esri. También se admiten datasets de mosaico multidimensionales.

• Esta herramienta produce un dataset ráster multidimensional en formato de ráster de nube (CRF). En este momento, no se admite ningún otro formato de salida.

• If the input multidimensional raster contains only one dimension, the output will be a single-band raster dataset. If the input multidimensional raster contains multiple dimensions, the output multidimensional raster will include those dimensions that were not included in the analysis.

Sintaxis

FindArgumentStatistics(in_raster, {dimension}, {dimension_def}, {interval_keyword}, {variables}, {statistics_type}, {min}, {max}, {multiple_occurrence}, {ignore_nodata})

Parámetro	Explicación	Tipo de datos
in_raster	The input multidimensional or multiband raster to be analyzed.	Raster Dataset; Raster Layer; Mosaic Dataset; Mosaic Layer; Image Service; File
dimension (Opcional)	The dimension from which the statistic will be extracted. If the input raster is not a multidimensional raster, this parameter is not required.	String
dimension_def (Opcional)	Specifies how the statistic will be extracted from the dimension. ALL —The statistic will be extracted across all dimensions. This is the default. INTERVAL_KEYWORD —The statistic will be extracted from the time dimension according to the interval keyword.	String
interval_keyword (Opcional)	The unit of time for which the statistic will be extracted. For example, you have five years of daily sea surface temperature data and you want to know the year in which the maximum temperature was observed. Set Statisitcs Type to Argument of the maximum, set Dimension Definition to Interval Keyword, and set Keyword Interval to Yearly. Alternatively, if you want to know the month in which the maximum temperature was consistently observed, set Statistics Type to Argument of the maximum, setDimension Definition to Interval Keyword, and set Keyword Interval to Recurring Monthly. This will generate a raster in which each pixel contains the month in which the statistic was reached across the five-year record (08/18/2018, 08/25/2016, 08/07/2013, for example). This parameter is required when the dimension parameter is set to StdTime and the dimension_def parameter is set to INTERVAL_KEYWORD. RECURRING_DAILY —The statistic will be extracted across days. RECURRING_WEEKLY —The statistic will be extracted across weeks. RECURRING_MONTHLY —The statistic will be extracted across months. RECURRING_QUARTERLY —The statistic will be extracted across quarters. HOURLY —The statistic will be extracted for the hour in which the statistic was reached. DAILY —The statistic will be extracted for the day in which the statistic was reached. WEEKLY —The statistic will be extracted for the week in which the statistic was reached. MONTHLY —The statistic will be extracted for the month in which the statistic was reached. QUARTERLY —The statistic will be extracted for the quarter in which the statistic was reached. YEARLY —The statistic will be extracted for the year in which the statistic was reached.	String
variables [variables,...] (Opcional)	The variable or variables to be analyzed. If the input raster is not multidimensional, the pixel values of the multiband raster are considered the variable. If the input raster is multidimensional and no variable is specified, all variables with the selected dimension will be analyzed. For example, to find the years in which temperature values were highest, specify temperature as the variable to be analyzed. If you do not specify any variables and you have both temperature and precipitation variables, both variables will be analyzed, and the output multidimensional raster will include both variables.	String
statistics_type (Opcional)	Specifies the statistic to extract from the variable or variables along the given dimension. ARGUMENT_MIN —The dimension value at which the minimum variable value is reached will be extracted. This is the default. ARGUMENT_MAX —The dimension value at which the maximum variable value is reached will be extracted. ARGUMENT_MEDIAN —The dimension value at which the median variable value is reached will be extracted. DURATION —The longest dimension duration value between the minimum and maximum variable values will be extracted.	String
min (Opcional)	The minimum variable value to be used to extract the duration. This parameter is required when the statistics_type parameter is set to DURATION.	Double
max (Opcional)	The maximum variable value to be used to extract the duration. This parameter is required when the statistics_type parameter is set to DURATION.	Double
multiple_occurrence (Opcional)	The pixel value to use to indicate that a given argument statistic was reached more than once in the input raster dataset. If not specified, the pixel value will be the value of the dimension the first time the argument statistic is reached.	Long
ignore_nodata (Opcional)	Especifica si los valores NoData se ignorarán en el análisis. DATA — El análisis incluirá todos los píxeles válidos a lo largo de una dimensión determinada y se ignorarán los píxeles NoData. Esta es la opción predeterminada. NODATA —El análisis dará como resultado NoData si no hay valores NoData para los píxeles a lo largo de la dimensión determinada.	Boolean

Valor de retorno

Nombre	Explicación	Tipo de datos
out_raster	The output raster dataset.	Raster

Muestra de código

FindArgumentStatistics example 1 (Python window)

This example finds the minimum monthly precipitation and temperature values across a time series multidimensional raster. If the same minimum value is found multiple times, the pixel value will be 99999.

# Import system modules
import arcpy
from arcpy.ia import *

# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")

# get the date when the minimal precipitation was observed in each year
# as well as the date when the minimal temperature was observed in each year
argStatOutput = FindArgumentStatistics("prcp_temp_time_series.crf", "StdTime", "INTERVAL_KEYWORD", "YEARLY",
	"prcp;temp", "ARGUMENT_MIN", None, None, 0, "DATA")
	
# Save output
argStatOutput.save("C:/data/yearly_min_temp_precip.crf")

FindArgumentStatistics example 2 (stand-alone script)

This example finds the longest time interval for which salinity fell between 10 and 15 units of measurement in the multidimensional raster.

# Import system modules
import arcpy
from arcpy.ia import *

# Check out the ArcGIS Image Analyst extension license
arcpy.CheckOutExtension("ImageAnalyst")

# Define input parameters
inFile = "C:/data/salinity.crf"
dimensionName = "Time"
dimensiondef = "ALL"
intervalkeyword = ''
variables = "temp"
arg_statistics_type = "DURATION"
min_value = 20
max_value = 25
multiple_occurrances_value = None
ignore_nodata = "NODATA"

# Execute 
# get the number of continous slices that have temperature value between 20 and 25
argStatOutput = FindArgumentStatistics(inFile, dimensionName, dimensiondef, intervalkeyword,
	variables, arg_statistics_type, min_value, max_value, multiple_occurrances_value, ignore_nodata)
	
# Save output
argStatOutput.save("C:/data/arg_statistics_output2.crf")

Entornos

Tamaño de celda, Compresión, Espacio de trabajo actual, Transformaciones geográficas, NoData, Palabra clave CONFIG de salida, Sistema de coordenadas de salida, Extensión, Factor de procesamiento en paralelo, Pirámide, Estadísticas de ráster, Método de remuestreo, Espacio de trabajo temporal, Ráster de alineación, Tamaño de tesela

Información de licenciamiento

• Basic: Requiere Image Analyst
• Standard: Requiere Image Analyst
• Advanced: Requiere Image Analyst