DOI: 10.5281/zenodo.8175430
title: CitiesGOER: Globally Observed Environmental Data for 52,602 Cities with a Population ≥ 5000

description: <strong>CitiesGOER</strong> is a database that provides environmental data for 52,602 cities and 48 environmental variables, including 38 bioclimatic variables, 8 soil variables and 2 topographic variables. Data were extracted from the same 30 arc-seconds global grid layers that were prepared when making the <strong>TreeGOER (Tree Globally Observed Environmental Ranges)</strong> database that is available from https://doi.org/10.5281/zenodo.7922927. Details on the preparations of these layers are provided by Kindt (submitted May 2023) <strong>TreeGOER: a database with globally observed environmental ranges for 48,129 tree species</strong>. https://www.biorxiv.org/content/10.1101/2023.05.15.540790v1. CitiesGOER was designed to be used together with TreeGOER and possibly also with the GlobalUsefulNativeTrees database to allow users to filter suitable tree species based on environmental conditions of the planting site. The identities and coordinates of cities were sourced from a data set with information for cities with a population size larger than 1000 that was created by Opendatasoft and made available from https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/table/?disjunctive.cou_name_en&sort=name. The data was downloaded on 22-JULY-2023 and afterwards filtered for cities with a population of 5000 or above. Cities where information on the country was missing were removed. The coordinates of cities were used to extract the environmental data via the terra package (Hijmans et al. 2022, version 1.6-47) in the R 4.2.1 environment. The locations of the 52,602 cities are mapped in one of the series available from the <strong>TreeGOER Global Zones</strong> atlas that can be obtained from https://doi.org/10.5281/zenodo.8252756. When using CitiesGOER in your work, cite this depository and the following: Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. <em>International Journal of Climatology</em>, <em>37</em>(12), 4302–4315. https://doi.org/10.1002/joc.5086 Title, P. O., & Bemmels, J. B. (2018). ENVIREM: An expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. <em>Ecography</em>, <em>41</em>(2), 291–307. https://doi.org/10.1111/ecog.02880 Poggio, L., de Sousa, L. M., Batjes, N. H., Heuvelink, G. B. M., Kempen, B., Ribeiro, E., & Rossiter, D. (2021). SoilGrids 2.0: Producing soil information for the globe with quantified spatial uncertainty. SOIL, 7(1), 217–240. https://doi.org/10.5194/soil-7-217-2021 Kindt, R. (2023). TreeGOER: a database with globally observed environmental ranges for 48,129 tree species. <em>bioRxiv</em>. https://www.biorxiv.org/content/10.1101/2023.05.15.540790v1 Opendatasoft (2023) Geonames - All Cities with a population &gt; 1000. https://public.opendatasoft.com/explore/dataset/geonames-all-cities-with-a-population-1000/information/?disjunctive.cou_name_en&sort=name (accessed 22-JULY-2023) The development of <strong>CitiesGOER</strong> was supported by the Darwin Initiative to project DAREX001 of <em>Developing a Global Biodiversity Standard certification for tree-planting and restoration</em>, by Norway’s International Climate and Forest Initiative through the Royal Norwegian Embassy in Ethiopia to the <em>Provision of Adequate Tree Seed Portfolio</em> project in Ethiopia, and by the Green Climate Fund through the IUCN-led <em>Transforming the Eastern Province of Rwanda through Adaptation</em> project.