{"product_id":"9781484282861","title":"Machine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases","description":"\u003ch1\u003eMachine Learning on Geographical Data Using Python: Introduction into Geodata with Applications and Use Cases\u003c\/h1\u003e \u003ch2\u003eKorstanje, Joos\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cdiv\u003eGet up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. \u003c\/div\u003e\u003cdiv\u003e \u003c\/div\u003e\u003cdiv\u003eThis book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases.\u003c\/div\u003e\u003cdiv\u003e \u003c\/div\u003e\u003cdiv\u003eThis book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at  github.com\/Apress\/machine-learning-geographic-data-python) and facilitate learning by application.\u003c\/div\u003e\u003cdiv\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the fundamental concepts of working with geodata\u003c\/li\u003e\n\u003cli\u003eWork with multiple geographical data types and file formats in Python\u003c\/li\u003e\n\u003cli\u003eCreate maps in Python\u003c\/li\u003e\n\u003cli\u003eApply machine learning on geographical data\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/div\u003e\u003cdiv\u003e \u003c\/div\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cdiv\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003eReaders with a basic understanding of machine learning who wish to extend their skill set to analysis of and machine learning on spatial data while remaining in a common data science Python environment\u003c\/div\u003e\n\u003c\/div\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2022-07-21\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781484282861\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4842-8287-8\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 312\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":47544229298316,"sku":"9781484282861","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781484282861.jpg?v=1776083428","url":"https:\/\/lateknightbooks.com\/products\/9781484282861","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}