{"product_id":"explainable-machine-learning-for-geospatial-data-analysis-a-data-centric-approach-9781032503806","title":"Explainable Machine Learning for Geospatial Data Analysis: A Data-Centric Approach","description":"\u003cp\u003e • Author(s): Courage Kamusoko\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Remote Sensing \u0026amp; Geographic Information Systems\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eExplainable machine learning (XML), a subfield of AI, is focused on making complex AI models understandable to humans. This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric, explainable machine learning approach to obtain new insights from geospatial data. It presents the opportunities, challenges, and gaps in the machine and deep learning approaches for geospatial data analysis and how they are applied to solve various environmental problems in land cover changes and in modeling forest canopy height and aboveground biomass density. The author also includes guidelines and code scripts (R, Python) valuable for practical readers.\u003c\/p\u003e\u003cp\u003eFeatures\u003c\/p\u003e\u003cul\u003e \u003cli\u003eData-centric explainable machine learning (ML) approaches for geospatial data analysis.\u003c\/li\u003e \u003cli\u003eThe foundations and approaches to explainable ML and deep learning.\u003c\/li\u003e \u003cli\u003eSeveral case studies from urban land cover and forestry where existing explainable machine learning methods are applied.\u003c\/li\u003e \u003cli\u003eDescriptions of the opportunities, challenges, and gaps in data-centric explainable ML approaches for geospatial data analysis.\u003c\/li\u003e \u003cli\u003eScripts in R and python to perform geospatial data analysis, available upon request.\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis book is an essential resource for graduate students, researchers, and academics working in and studying data science and machine learning, as well as geospatial data science professionals using GIS and remote sensing in environmental fields.\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45243749695639,"sku":"9781032503806","price":10055.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781032503806.webp?v=1769235676","url":"https:\/\/atlanticbooks.com\/products\/explainable-machine-learning-for-geospatial-data-analysis-a-data-centric-approach-9781032503806","provider":"Atlantic Books","version":"1.0","type":"link"}