ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes
Abstract The inescapable fact that human life is perpetually embedded in a tangible biogeophysical environment – and the consequences that this has for individuals and societies – have long fascinated scholars of all backgrounds. Technological progress and the advent of big data have spurred ever-mo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-09-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02579-0 |
| _version_ | 1797453967149498368 |
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| author | David Willinger Friedrich M. Götz Stefan Stieger |
| author_facet | David Willinger Friedrich M. Götz Stefan Stieger |
| author_sort | David Willinger |
| collection | DOAJ |
| description | Abstract The inescapable fact that human life is perpetually embedded in a tangible biogeophysical environment – and the consequences that this has for individuals and societies – have long fascinated scholars of all backgrounds. Technological progress and the advent of big data have spurred ever-more precise attempts to quantify our biogeophysical environments. However, many such datasets lack spatial granularity, global coverage, content depth, or accessibility. Here, we introduce ecolo-zip, a novel geospatial dataset that provides a granular-yet-global, parsimonious-yet-rich ecological characterization of over 1.5 million postal codes across 94 countries and regions. Combining two large-scale satellite image resources (ASTER; SRTM, ICC = 0.999) and a customized geospatial sampling model, we provide high-resolution indicators of physical topography (elevation, mountainousness, distance to sea), vegetation (normalized difference vegetation index), and climate (surface temperature). With this resource – featuring methodological details, visualizations, and application suggestions – we hope to contribute towards understanding the multi-faceted interactions between humans and their environments. |
| first_indexed | 2024-03-09T15:30:32Z |
| format | Article |
| id | doaj.art-bcac6d838f8a4f52981d7c95a75153ad |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-09T15:30:32Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-bcac6d838f8a4f52981d7c95a75153ad2023-11-26T12:18:04ZengNature PortfolioScientific Data2052-44632023-09-0110111210.1038/s41597-023-02579-0ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codesDavid Willinger0Friedrich M. Götz1Stefan Stieger2Department of Psychology and Psychodynamics, Karl Landsteiner University of Health SciencesDepartment of Psychology, University of British ColumbiaDepartment of Psychology and Psychodynamics, Karl Landsteiner University of Health SciencesAbstract The inescapable fact that human life is perpetually embedded in a tangible biogeophysical environment – and the consequences that this has for individuals and societies – have long fascinated scholars of all backgrounds. Technological progress and the advent of big data have spurred ever-more precise attempts to quantify our biogeophysical environments. However, many such datasets lack spatial granularity, global coverage, content depth, or accessibility. Here, we introduce ecolo-zip, a novel geospatial dataset that provides a granular-yet-global, parsimonious-yet-rich ecological characterization of over 1.5 million postal codes across 94 countries and regions. Combining two large-scale satellite image resources (ASTER; SRTM, ICC = 0.999) and a customized geospatial sampling model, we provide high-resolution indicators of physical topography (elevation, mountainousness, distance to sea), vegetation (normalized difference vegetation index), and climate (surface temperature). With this resource – featuring methodological details, visualizations, and application suggestions – we hope to contribute towards understanding the multi-faceted interactions between humans and their environments.https://doi.org/10.1038/s41597-023-02579-0 |
| spellingShingle | David Willinger Friedrich M. Götz Stefan Stieger ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes Scientific Data |
| title | ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes |
| title_full | ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes |
| title_fullStr | ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes |
| title_full_unstemmed | ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes |
| title_short | ecolo-zip: A global, rich and granular characterization of biogeophysical ecology for 1.5 million postal codes |
| title_sort | ecolo zip a global rich and granular characterization of biogeophysical ecology for 1 5 million postal codes |
| url | https://doi.org/10.1038/s41597-023-02579-0 |
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