Using this document

The examples in this document are not URL-escaped, so they will not work directly in the browser. Make sure to properly escape your URLs.

Base Path

The base path for EstimationQuery requests is:

http://spatial.mapfluence.com/estimate.<format>

where <format> is either json or geojson and specifies the reponse format.

select

Use the select argument to choose attribute table fields to estimate. To estimate the number of households in a polygon:

select=us_census00.stats.cnt_hh
in='POLYGON((-93 41,-93 42,-94 42,-94 41,-93 41))'
using=us_census00.blkgrp_geom

See it in action

Keep in mind that not all fields are estimatable. For example, you cannot estimate character fields. The following data types are estimable:

• CountField
• PopAverageField
• AreaAverageField
• MedianField
• PopPercentField
• AreaPercentField
• RankField
• PercentageField
• PortionField
• PopPortionField

The data catalog contains information about field data types.

See SpatialQuery select for details on specifying attribute table fields.

in (required)

Use 'in' to specify the geometry (or feature) for which you wish to estimate data.

This may be a WKT geometry, as in this example which estimates the number of Unitarian Universalist adherents within 25 miles of Asheville, NC:

select=religion.county_data.unituniv_adherents
in='RANGE(25mi POINT(-82.554 35.601))'
using=us_census00.county_geom

See it in action

or a feature ID, as in this example, which estimates the number of families living in poverty in the Minneapolis school district.

select=us_census00.stats.cnt_fampov
in=685210
using=us_census00.blkgrp_geom

See it in action

using (required)

A geometry dataset for which the data you wish to estimate exists. Specifying a smaller geometry dataset (e.g. using counties rather than states) will give more accurate results, and specifying a larger geometry dataset will give a faster response.

between

See SpatialQuery between.