SAGA.statistics_regression.15: Zonal Multiple Regression Analysis (Points and Predictor Grids)

Linear regression analysis of point attributes using multiple predictor grids. Details of the regression/correlation analysis will be saved to a table. The regression function is used to create a new grid with regression based values. The multiple regression analysis uses a forward selection procedure. Each polygon in the zones layer is processed as individual zone. <br/>Reference:<br/>- Bahrenberg, G., Giese, E., Nipper, J. (1992): 'Statistische Methoden in der Geographie 2 - Multivariate Statistik', Stuttgart, 415p.<br/>

Inputs

Predictors

format
href
Please set a value for PREDICTORS.

Zones

format
href
Please set a value for ZONES.

Points

format
href
Please set a value for POINTS.

Dependent Variable

format
href
Please set a value for ATTRIBUTE.

Resampling

string

Include X Coordinate

boolean

Include Y Coordinate

boolean

Intercept

boolean

Method

string

Significance level (aka p-value) as threshold for automated predictor selection, given as percentage

number

Outputs

Residuals

format
transmission

Regression

format
transmission

Execution options

successUri
inProgressUri
failedUri

format

mode

Execute End Point

View the execution endpoint of a process.

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"Intercept", "schema": {"type": "boolean", "default": false, "enum": ["true", "false"], "nullable": true}, "id": "INTERCEPT"}, "METHOD": {"title": "Method", "description": "Method", "schema": {"type": "string", "default": "stepwise", "enum": ["include all", "forward", "backward", "stepwise"], "nullable": true}, "id": "METHOD"}, "P_VALUE": {"title": "Significance Level", "description": "Significance level (aka p-value) as threshold for automated predictor selection, given as percentage", "schema": {"type": "number", "default": 5, "format": "double", "minimum": 0, "maximum": 100, "nullable": true}, "id": "P_VALUE"}}, "outputs": {"RESIDUALS": {"title": "Residuals", "description": "Residuals", "extended-schema": {"oneOf": [{"allOf": [{"$ref": "http://zoo-project.org/dl/link.json"}, {"type": "object", "properties": {"type": {"enum": ["text/xml", "application/vnd.google-earth.kml+xml", "application/json"]}}}]}, {"type": "object", "required": ["value"], "properties": {"value": {"oneOf": 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"application/x-ogc-envi"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-aaigrid"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}}}]}, "schema": {"oneOf": [{"type": "string", "contentEncoding": "base64", "contentMediaType": "image/tiff"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-envi"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "application/x-ogc-aaigrid"}, {"type": "string", "contentEncoding": "base64", "contentMediaType": "image/png"}]}, "id": "REGRESSION"}}}

http://tb17.geolabs.fr:8119/ogc-api/processes/SAGA.statistics_regression.15.html
Last modified: Sat Feb 19 15:43:34 CET 2022