params: Parameter Descriptions for pgfeatureserv Functions
In poissonconsulting/pgfsr: Client for pg_featureserv RESTful web service

params

R Documentation

Parameter Descriptions for pgfeatureserv Functions

Description

Parameter Descriptions for pgfeatureserv Functions

Arguments

`...`	Unused parameters.
`response`	A flag indicating whether to return the raw response object.
`base_url`	A character string of the base URL.
`path`	A character string of the path or endpoint.
`user`	A character string of the user. This allows whoever is running the server your are querying to contact you in case of misuse.
`verbose`	A flag indicating whether to provide verbose GET response.
`collection_id`	A character string of the collection id.
`feature_id`	A positive whole number of the feature id.
`function_id`	A character string of the function id.
`limit`	A positive whole number that limits the number of features in the response.
`offset`	A positive whole number that starts the response at an offset.
`nocache`	A character string indicating whether to cache results or not. Possible values include 'true' or 'false' or NULL.
`sortby`	A string that sorts the response items by a property. Default is ascending but property name can be prepended with '-' to indicate descending.
`bbox`	A vector of four numbers indicating bounding box in lon/lat (e.g. `c(minLon, minLat, maxLon, maxLat)`) that features in response must intersect.
`filter`	A named vector or list of the filter(s) to apply, where the list names correspond to column names and the list values correspond to the desired value, e.g. `list(gnis_name = "Sangan River")`.
`properties`	A vector of strings of the column names to include. If NULL (default), all columns are retained.
`transform`	A character vector with the name of the valid transform function followed by the parameter values (e.g. c("ST_Simplify", 100)).
`precision`	A positive whole number indicating precision (i.e., number of decimal places) of GeoJSON coordinates.
`groupby`	A string of the property name (i.e., column name) to group response features by. This would typically be used with an aggregate transform function.
`parameters`	A named list of the parameters and values for a specific function.