Spatial Predictive Modeling with R by Jin Li
Requirements: .PDF reader, 75 MB
Overview: Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/218d8070rb58
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Requirements: .PDF reader, 75 MB
Overview: Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on point data, and then generating spatial predictions. This book aims to systematically introduce the entire process of SPM as a discipline. The process contains data acquisition, spatial predictive methods and variable selection, parameter optimization, accuracy assessment, and the generation and visualization of spatial predictions, where spatial predictive methods are from geostatistics, modern statistics, and machine learning.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://userupload.net/218d8070rb58
https://dropgalaxy.vip/nip7dw57mqz3
Trouble downloading? Read This.