File:GWNN and GWR prediction differences.jpg
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Summary
| Description |
English: Hagenauer et al. (2022)'s figure 12. A geographically weighted artificial neural network. International journal of geographical information science, volume 36, issue 2. Authors computed the distance metrics for geographically weighting the GWR and GWNN models, through the variables Euclidean distance (ED) and travel time distance (TTD). |
| Date | |
| Source | https://www.tandfonline.com/doi/full/10.1080/13658816.2021.1871618?scroll=top&needAccess=true&role=tab |
| Author | Julian Hagenauer, Marco Helbich |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 15:19, 29 March 2023 | | 1,200 × 1,179 (110 KB) | 7e8y | Uploaded a work by Julian Hagenauer, Marco Helbich from https://www.tandfonline.com/doi/full/10.1080/13658816.2021.1871618?scroll=top&needAccess=true&role=tab with UploadWizard |
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