Cave Entrance Location Model Using Binary Logistic Regression: The Case Study of South Gombong Karst Region, Indonesia

Cave Entrance Location Model Using Binary Logistic Regression: The Case Study of South Gombong Karst Region, Indonesia

Cave entrance data are crucial as the primary indicators in the underground water inventory of a karst area. The data collection was traditionally conducted by field survey, but it is very costly and not efficient. Remote sensing and Geographic Information System (GIS) can help estimate cave entra...

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Main Authors: Putra, Rakhmat Dwi, Widyatmanti, Wirastuti, Jatmiko, Retnadi Heru, Adji, Tjahyo Nugroho, Umarhadi, Deha Agus
格式: Article PeerReviewed
語言:English
出版: the Geographical Institute "Jovan Cvijić" of the Serbian Academy of Sciences and Arts (SASA) 2022
主題:
Geography and Environmental Sciences
在線閱讀:https://repository.ugm.ac.id/278775/1/CAVE%20ENTRANCE%20LOCATION%20MODEL%20USING%20BINARY%20LOGISTIC%20REGRESSION-THE%20CASE%20STUDY%20OF%20SOUTH%20GOMBONG%20KARST%20REGION%2C%20INDONESIA.pdf
https://repository.ugm.ac.id/278775/
https://ojs.gi.sanu.ac.rs/index.php/zbornik
https://doi.org/10.2298/IJGI2203229P
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機構: Universitas Gadjah Mada
語言: English

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https://repository.ugm.ac.id/278775/1/CAVE%20ENTRANCE%20LOCATION%20MODEL%20USING%20BINARY%20LOGISTIC%20REGRESSION-THE%20CASE%20STUDY%20OF%20SOUTH%20GOMBONG%20KARST%20REGION%2C%20INDONESIA.pdf
https://repository.ugm.ac.id/278775/
https://ojs.gi.sanu.ac.rs/index.php/zbornik
https://doi.org/10.2298/IJGI2203229P

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