Last updated: October 2025
This guide provides essential information on how to properly attribute map tiles, cite spatial datasets, and acknowledge data sources in your research, publications, and reports.
Important: Failure to properly attribute map sources or cite spatial data can result in license violations, require withdrawal of published maps, and damage AU's reputation. Always include proper attribution.
Proper attribution and citation are required for:
Critical Rule: NEVER remove automatically-generated attribution from GIS software outputs (ArcGIS, QGIS, Leaflet, etc.). This includes copyright text at the bottom of maps.
All maps must include:
Includes: CartoDB/CARTO, Stamen, Thunderforest
Required attribution: "© OpenStreetMap contributors"
License: ODbL (Open Database License)
Example:
Map tiles by CARTO, under CC BY 3.0. Data by OpenStreetMap, under ODbL.
Popular for neutral basemaps (Positron, Voyager, Dark Matter)
Required attribution: "© CARTO" and "© OpenStreetMap contributors"
Example for CartoDB.PositronNoLabels:
© CARTO, © OpenStreetMap contributors
Required attribution: Copy the attribution text from the bottom of the map viewer
Typically includes: "Esri, [list of data providers]"
Important: Never crop out this attribution from exported maps
Required attribution: "Map data ©[year] Google"
Note: Terms of service prohibit most academic reproduction without additional licensing
Required attribution:
Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL.
Place attribution in the bottom-right corner using standard controls:
# R - Leaflet example
library(leaflet)
leaflet() %>%
addProviderTiles(providers$CartoDB.PositronNoLabels,
options = providerTileOptions(
attribution = "© CARTO, © OpenStreetMap contributors"
))
Include attribution in the figure caption:
Figure 1. Study area showing sample locations in Denmark. Map tiles © CARTO. Data © OpenStreetMap contributors.
Attribution can appear in smaller text at the map edge or in the slide footer
Every spatial dataset citation should include:
Author(s). Year. Dataset title. Version [if applicable]. Publisher/Repository. DOI or URL. Accessed: date.
Example:
European Environment Agency. 2018. Corine Land Cover 2018 (Vector 100m), Europe, version 2020_20u1. Copernicus Land Monitoring Service. land.copernicus.eu/pan-european/ corine-land-cover/clc2018. Accessed: 15 March 2024.
Author, A. A. (Year). Title of dataset (Version X) [Data set]. Publisher. DOI or URL
Example:
U.S. Geological Survey. (2019). National Hydrography Dataset (NHD) - High Resolution [Data set]. www.usgs.gov/national-hydrography/
OpenStreetMap contributors. 2024. Planet dump retrieved from planet.openstreetmap.org. www.openstreetmap.org. Accessed: 10 October 2024.
European Space Agency. 2023. Sentinel-2 Level-2A imagery, tile 32UME, acquired 15 June 2023. Copernicus Open Access Hub. scihub.copernicus.eu. Accessed: 20 June 2023.
GBIF.org. 2024. GBIF Occurrence Download. doi.org/10.15468/dl.xxxxx. Accessed: 5 August 2024.
Note: GBIF provides a specific DOI for each download. Always use the DOI provided with your download.
Fick, S.E., and R.J. Hijmans. 2017. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37:4302-4315. Data available at: www.worldclim.org
Note: Cite both the dataset paper AND the data source for WorldClim.
Styrelsen for Dataforsyning og Infrastruktur. 2023. GeoDanmark orthophoto 2023, 12.5 cm resolution. Datafordeleren. datafordeler.dk. Accessed: 12 April 2024.
When datasets have DOIs:
Smith, J., Jones, A., & Brown, K. (2023). Spatial distribution of bumblebee colonies across Denmark 2018-2022 (Version 1.2) [Data set]. Dryad. doi.org/10.5061/dryad.xxxxx
If you process or modify spatial data, cite the original source AND describe your modifications:
In methods:
Original 44 Corine land cover classes were aggregated into five functional categories (urban, agriculture, forest, wetland, other) following the classification scheme of Smith et al. (2020).
Many journals now require Data Availability Statements. For spatial data:
Example (publicly available data):
Spatial data used in this study are publicly available from the following sources: land cover data from the European Environment Agency (https://land.copernicus.eu/), elevation data from Datafordeleren (https://datafordeler.dk/), and species occurrence records from GBIF (https://doi.org/10.15468/dl.xxxxx).
Example (with code archive):
All data and R code used for spatial analysis are archived at Zenodo (https://doi.org/10.5281/zenodo.xxxxx).
Spatial analysis software should also be cited:
QGIS:
QGIS Development Team. 2024. QGIS Geographic Information System. Open Source Geospatial Foundation Project. qgis.org
ArcGIS:
Esri. 2023. ArcGIS Pro (Version 3.1). Esri Inc. www.esri.com/en-us/arcgis/products/arcgis-pro/
R packages (example - sf):
Pebesma, E. 2018. Simple features for R: standardized support for spatial vector data. The R Journal 10:439-446.
| Source Type | Required Attribution | Where to Place | License |
|---|---|---|---|
| OpenStreetMap | © OpenStreetMap contributors | On map or caption | ODbL |
| CARTO/CartoDB | © CARTO, © OSM contributors | On map or caption | CC BY 3.0 / ODbL |
| Esri basemaps | Copy from map viewer | On map or caption | Varies |
| Stamen | © Stamen Design, © OSM | On map or caption | CC BY 3.0 / ODbL |
| Google Maps | Map data ©[year] Google | On map | Restricted |
If you have questions about map attribution or data citation, please contact:
AU GIS Committee
Email: [email protected]
You can also join the AU GIS community on Facebook: GIS users at Aarhus University
Prepared by: AU GIS Committee
Last updated: October 2025
For updates or corrections to this page, contact [email protected]