CARTO: OpenStreetMap – Nodes (Spain)
Nodes from the OpenStreetMap database in Spain with extra columns to aid filtering by category.
OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. Created in 2004, it was inspired by the success of Wikipedia and more than two million registered users who can add data by manual survey, GPS devices, aerial photography, and other free sources. OSM is produced as a public good by volunteers, and there are no guarantees about data quality. OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF). OSM represents physical features on the ground (e.g. roads or buildings) using tabs attached to its basic data structure (its nodes, ways, and relations). Each tag describes a geographic attribute of the feature being shown by the specific node, way or relation. Nodes are one of the core elements in the OSM data model. It consists of a single point in space defined by its latitude, longitude and node id. Nodes can be used to define standalone point features.
OpenStreetMap® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF). This dataset is provided “AS IS” without any warranty, express or implied from CARTO. CARTO disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset
This list includes OSM Nodes (e.g. points of interest) in Spain.
– Type of OSM map feature
You can check these datasets metadata and dictionary in CARTO’s Spatial Data Catalog:
Example Use Case:
Analyze next which type of Point of Interests your business performs best.
About the Provider:
From smartphones to connected cars, location data is changing the way we live and the way we run businesses. Everything happens somewhere, but visualizing data to see where things are isn’t the same as understanding why they happen there. CARTO is the world’s leading Location Intelligence platform, enabling organizations to use spatial data and analysis for more efficient delivery routes, better behavioral marketing, strategic store placements, and much more.
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