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Comparison of spatial interpolation methods to create
high-resolution poverty maps for low- and middle-income
countries Journal of The Royal Society Interface Vol. 15, Issue 147, 20180252, 2018 |
How to cite this article
Stang Abdul Rahman, Amran Rahim and Anwar Mallongi, 2017. Forecasting of Dengue Disease Incident Risks Using Non-stationary Spatial of Geostatistics Model in Bone Regency Indonesia. Journal of Entomology, 14: 49-57.
DOI: 10.3923/je.2017.49.57
URL: https://scialert.net/abstract/?doi=je.2017.49.57
DOI: 10.3923/je.2017.49.57
URL: https://scialert.net/abstract/?doi=je.2017.49.57