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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Bibliographic Details
Main Authors: Putra, Rakhmat Dwi, Widyatmanti, Wirastuti, Jatmiko, Retnadi Heru, Adji, Tjahyo Nugroho, Umarhadi, Deha Agus
Format: Article PeerReviewed
Language:English
Published: the Geographical Institute "Jovan Cvijić" of the Serbian Academy of Sciences and Arts (SASA) 2022
Subjects:
Geography and Environmental Sciences
Online Access: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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Institution: Universitas Gadjah Mada
Language: English

Internet

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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