No-brainer reverse geocoding service using GeoHash and KD-Tree algorithms
1.5K
No-brainer reverse geocoding service using GeoHash and KD-Tree algorithms. Designed for small-area reverse geocoding, originally developed for Malaysian city coordinates.
docker pull mypapit/daerah-geocoder:latest
docker run -d -p 15000:15000 -v /usr/local/shared-data:/shared-data -v /var/log:/var/log mypapit/daerah-geocoder:latest
The dataset used in this project is sourced from Kaggle: Malaysian States and City Coordinates
DOI: 10.34740/KAGGLE/DSV/12133806
You can always download latest reverse-geocoding file "daerah-working-set.csv" from Kaggle or create your own and placed it on /usr/local/shared-data (or any directory of your choosing)
I would like to thank my associates and various trainees at the RICAEN office at Universiti Teknologi MARA (Perlis), Malaysia, for their help in gathering the information.
The data can be combined with other datasets to determine the nearest city, district, or state. It can also be used with kNN algorithms, KD-Tree, or experiments to build a localized reverse-geocoder
Ismail, M. H. B. (2025). Malaysian States and City Coordinates [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/12133806
Content type
Image
Digest
sha256:b0e893030…
Size
157 MB
Last updated
about 1 year ago
docker pull mypapit/daerah-geocoder