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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Putra, Rakhmat Dwi, Widyatmanti, Wirastuti, Jatmiko, Retnadi Heru, Adji, Tjahyo Nugroho, Umarhadi, Deha Agus
التنسيق: مقال PeerReviewed
اللغة:English
منشور في: the Geographical Institute "Jovan Cvijić" of the Serbian Academy of Sciences and Arts (SASA) 2022
الموضوعات:
Geography and Environmental Sciences
الوصول للمادة أونلاين: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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الانترنت

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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