Five spatial landmark datasets

This release contains different open data, multi-source and heterogeneous landmark datasets. They were used to study their heterogeneity, complementarity, and quality on the one hand, and to define a data warehouse of landmarks for mountain rescue (See related article for further details), on the other hand. This archive is released for transparency and reproducibility purposes.

The landmark datasets, except BDTOPO dataset that are coming from a shapefile, are collected from APIs in a JSON format. Then, the datasets are transformed into a tabular format to store the location of a landmark (point geometry), the type related to the classification of landmark in sources, and a name if the landmark has one. The extraction was build at the end of the year 2021.

Sources of dataset offer a provenance diversity: authoritative or crowdsourced sources, specialized on a thematic domain or general-interest usage.

Here after, a short description of landmark datasets:

• « Dataset_POI_BDTopo.csv »: points of interest or activity from the French National Mapping Agency. Extracted from the national topographic data (BDTOPO) that is opendata since January 2021. The licence of this dataset is Etalab 2.0.

• « Dataset_RandoEcrinsParcnational_RandoParcDuVercors »: protected area led by French public institutions publish touristic data dedicated to a recreational use. The licence of this dataset is also Etalab 2.0.

• « Dataset_Camptocamp_org.csv »: Camptocamp (C2C) is a website dedicated to more or less experienced mountaineers. Landmark concern topographical guidelines for leisure activities (running, cycling, climbing, etc.). The licence is CC-by-nc-nd.

• « Dataset_RefugesInfo.csv »: Refuges.info, as the name suggests, provides detailed information concerning shelters and others landmarks such as water points, summits, etc. The licence is CC-By-Sa 2.0.

• « Dataset_Openstreetmap_org.csv »: OpenStreetMap (OSM) is the very well known collaborative project proposing many types of topographic and thematic spatial data. All data have been downloaded from an API endpoint. The centroid calculation was applied on the polygonal and linear geometries in order to build the point geometries. The licence is Open Data Commons Open Database License (ODbL).