PREDICTION OF SOIL PARTICLES USING A SPATIALLY ADAPTIVE GEOGRAPHICALLY WEIGHTED K-NEAREST NEIGHBORS ORDINARY LOGISTIC REGRESSION APPROACH

Soil particle prediction is crucial in various fields, including agriculture, environmental management, and geotechnical applications. The spatial variation of soil texture significantly affects land fertility, erosion risk, and construction feasibility. However, conventional statistical methods and...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Barekeng
المؤلفون الرئيسيون: Henny Pramoedyo, Wigbertus Ngabu, Atiek Iriany, Sativandi Riza
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Universitas Pattimura 2025-09-01
الموضوعات:
geographically weighted
k-nearest neighbors
logistic regression
spatial modeling
soil texture prediction
الوصول للمادة أونلاين:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17865

الانترنت

https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/17865

مواد مشابهة