Search our website

SGID society category

Utah Open Source Places

Last update · April 2024

Category: Society Data Type: Point GIS data Stewards: OpenStreetMap & UGRC

This point data was generated and filtered from OpenStreetMap (OSM) and is intended to represent places of interest in the state of Utah. These data may include businesses, restaurants, places of worship, airports, parks, schools, event centers, apartment complexes, hotels, car dealerships…almost anything that you can find in OSM. There were over 23,000 features in the original dataset (March 2022) and users can directly contribute to it through openstreetmap.org. , opens in a new tab The data is updated approximately once every month and will likely continue to grow over time with additional user input and activity.

Use the data

Quick clips

Feature service URL

https://services1.arcgis.com/99lidPhWCzftIe9K/ArcGIS/rest/services/OpenSourcePlaces/FeatureServer/0 Copy to clipboard

Open SGID sample query

select * from society.open_source_places limit 10; Copy to clipboard

Getting started

Learn more about the SGID on ArcGIS.
Learn more about the Open SGID and how to connect.

Tip

You can copy and paste the feature service URL above into ArcGIS Pro or a web map to visualize this data or access the query endpoint to query the data with your favorite programming language.

A closer look

Data Creation Process

The Open Source Places layer is created by a Python script that downloads statewide OSM data from a nightly archive provided by Geofabrik. The archive data contains nearly 20 shapefiles, some that are relevant to this dataset and some that aren't.

The Open Source Places layer is built by filtering the polygon and point data in those shapefiles down to a single point feature class with specific categories and attributes that UGRC determines would be of widest interest. The polygon features (buildings, areas, complexes, etc.) are converted to points using an internal centroid. Spatial filtering is done as the data from multiple shapefiles is combined into a single layer to minimize the occurrence of duplicate features. For example, a restaurant can be represented in OSM as both a point of interest and as a building polygon, the spatial filtering helps reduce the chances that both of these features are present in the final dataset.

Additional de-duplication is performed by using the 'block_id' field as a spatial index to ensure that no two features of the same name exist within a census block. Then, additional fields are created and assigned from UGRC's SGID data (county, city, zip, nearby address, etc.) via point-in-polygon and near analyses. A numeric check is done on the 'name' field to remove features where the name is less than 3 characters long or more than 50% numeric characters. This eliminates several features derived from the buildings layer where the 'name' is simply an apartment complex building number (ex: 3A) or house number (ex: 1612).

Finally, additional attributes (osm_addr, open_hours, phone, website cuisine, etc.) are pulled from the Overpass API and joined to the filtered data using the 'osm_id' field as the join key.

Field Descriptions

osm_id
The feature ID in the OSM database.
name
The name of the feature in the OSM database.
category
The feature's data class based on the 4-digit code and tags in the OSM database.
county
The county the feature is located in (assigned from UGRC's county boundaries).
city
The city the feature is located in (assigned from UGRC's municipal boundaries).
zip
The zip code of the feature (assigned from UGRC's approximation of zip code boundaries).
block_id
The census block the feature is located in (assigned from UGRC's census block boundaries).
osm_addr
The feature's address in the OSM database, if available.
ugrc_addr
The nearest address (within 25 meters) from the UGRC address point database.
addr_dist
The distance (meters) to the nearest UGRC address point within 25 meters.
disclaimer
A note from UGRC about the ugrc_addr field.
lon
The approximate longitude of the feature, calculated in WGS84 [EPSG:4326] (for the most precision, it is recommended that the feature's geometry is used instead of this field).
lat
The approximate latitude of the feature, calculated in WGS84 [EPSG:4326] (for the most precision, it is recommended that the feature's geometry is used instead of this field).
amenity
The amenity available at the feature (if applicable), often similar to the category.
cuisine
The type of food available (if applicable), multiple types are separated by semicolons (;).
tourism
The type of tourist location, if applicable (zoo, viewpoint, hotel, attraction, etc.).
shop
The type of shop, if applicable
website
The feature's website in the OSM database, if available.
phone
The feature's phone number(s) in the OSM database, if available.
open_hours
The feature's operating hours in the OSM database, if available.

Data Sources


          area[name="Utah"]->.utah;
          nwr[!highway][name](area.utah);
          out center;
          
Update history
  • April 2024
  • February 2024
  • December 2023
  • June 2023
  • May 2023
  • April 2023
  • March 2023
  • February 2023
Data Disclaimer

The Open Source Places data carries a different license than most UGRC data.

OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License , opens in a new tab (ODbL) by the OpenStreetMap Foundation , opens in a new tab (OSMF).

You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors. If you alter or build upon our data, you may distribute the result only under the same license. The full legal code , opens in a new tab explains your rights and responsibilities.

© OpenStreetMap contributors

For more information, visit openstreetmap.org/copyright , opens in a new tab , openstreetmap.org , opens in a new tab , and opendatacommons.org , opens in a new tab .

OpenStreetMap® is open data, licensed under the Open Data Commons Open Data License , opens in a new tab (ODbL) by the OpenStreetMap Foundation , opens in a new tab (OSMF).

More resources

You might also like