arcgisutils (version 0.4.0)

as_fields: Esri Field Type Mapping

Description

Infers Esri field types from R objects. Use as_fields() to create a data.frame of valid Esri Field Types from an sf object or data.frame.

Usage

as_fields(.data, arg = rlang::caller_arg(.data), call = rlang::caller_env())
infer_esri_type(
  .data,
  arg = rlang::caller_arg(.data),
  call = rlang::caller_env()
)
fields_as_ptype_df(fields, n = 0, call = rlang::caller_env())
ptype_tbl(fields, n = 0, call = rlang::caller_env())

Value

• fields_as_ptype_df() takes a data.frame with columns name and type and creates an empty data.frame with the corresponding columns and R types

• as_fields() returns a data.frame with columns name, type, alias, nullable, and editable columns

  • This resembles that of the fields returned by a FeatureService

Arguments

.data

an object of class data.frame.

arg

An argument name in the current function.

call

The execution environment of a currently running function, e.g. call = caller_env(). The corresponding function call is retrieved and mentioned in error messages as the source of the error.

You only need to supply call when throwing a condition from a helper function which wouldn't be relevant to mention in the message.

Can also be NULL or a defused function call to respectively not display any call or hard-code a code to display.

For more information about error calls, see Including function calls in error messages.

fields

a list or data.frame of field types. Requires the fields type and name to be present.

n

the number of rows to create in the prototype table

Details

• as_fields() takes a data frame-like object and infers the Esri field type from it.

• fields_as_pytpe_df() takes a list with type and name and creates an empty data.frame with the corresponding column names and types.

• get_ptype() takes a scalar character containing the Esri field type and returns a prototype of the pertinent R type

Field type mapping:

Esri field types are mapped as

• esriFieldTypeSmallInteger: integer

• esriFieldTypeSingle: double

• esriFieldTypeGUID: integer

• esriFieldTypeOID: integer

• esriFieldTypeInteger: integer

• esriFieldTypeBigInteger: double

• esriFieldTypeDouble: double

• esriFieldTypeString: character

• esriFieldTypeDate: date

R types are mapped as

• double: esriFieldTypeDouble

• integer: esriFieldTypeInteger

• character: esriFieldTypeString

• date: esriFieldTypeDate

• raw: esriFieldTypeBlob

Examples

inferred <- as_fields(iris)
inferred

fields_as_ptype_df(inferred)