Описание: This book is an introduction to a new branch of archaeology that scrutinises landscapes to find evidence of past human activity.
Автор: Toms, Silas Название: Arcpy and Arcgis: Geospatial Analysis with Python ISBN: 1783988665 ISBN-13(EAN): 9781783988662 Издательство: Неизвестно Цена: 9010.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses.
Автор: Michael Diener Название: Python Geospatial Analysis Cookbook ISBN: 1783555076 ISBN-13(EAN): 9781783555079 Издательство: Amazon Internet Рейтинг: Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ying Long; Zhenjiang Shen Название: Geospatial Analysis to Support Urban Planning in Beijing ISBN: 3319193414 ISBN-13(EAN): 9783319193410 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes a comprehensive framework of novel simulation approaches, conventional urban models, and related data mining techniques that will help develop planning support systems in Beijing as well as other mega-metropolitan areas.
Автор: Yuji Murayama Название: Progress in Geospatial Analysis ISBN: 4431547444 ISBN-13(EAN): 9784431547440 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the current development trends on methods and application of geospatial analysis and highlights future development prospects. It provides a thorough overview on the world of geospatial analysis including remote sensing and GIS.
Автор: Westra Erik Название: Python Geospatial Analysis Essentials ISBN: 1782174516 ISBN-13(EAN): 9781782174516 Издательство: Неизвестно Рейтинг: Цена: 7171.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Ying Long; Zhenjiang Shen Название: Geospatial Analysis to Support Urban Planning in Beijing ISBN: 3319353454 ISBN-13(EAN): 9783319353456 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes a comprehensive framework of novel simulation approaches, conventional urban models, and related data mining techniques that will help develop planning support systems in Beijing as well as other mega-metropolitan areas.
Автор: Toms Silas, Rees Eric Van, Crickard Paul Название: Mastering Geospatial Analysis with Python ISBN: 1788293339 ISBN-13(EAN): 9781788293334 Издательство: Неизвестно Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.
Автор: Lawhead Joel Название: Learning Geospatial Analysis with Python - Third Edition ISBN: 1789959276 ISBN-13(EAN): 9781789959277 Издательство: Неизвестно Рейтинг: Цена: 11033.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Geospatial Analysis is used in almost every field you can think of from medicine to defense, to farming. Learning Geospatial Analysis with Python, Third Edition would be a helpful guide to Geographic Information Systems and Remote Sensing Analysis using Python 3.7 without overwhelming the reader.
Описание: A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied."
Автор: Juliana A. Maantay; Sara McLafferty Название: Geospatial Analysis of Environmental Health ISBN: 940073557X ISBN-13(EAN): 9789400735576 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Geospatial Analysis of Environmental Health provides an overview of the major issues in the field of Environmental Health Spatial Sciences today. Each chapter contains original research that utilizes geotechnical tools to address an environmental health, environmental justice, or health disparities problem.
Автор: Pamela S. Showalter; Yongmei Lu Название: Geospatial Techniques in Urban Hazard and Disaster Analysis ISBN: 9400730845 ISBN-13(EAN): 9789400730847 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines how geographic information technologies (GIT) are being implemented to improve our understanding of hazard and disaster situations. The focus is on urban areas, broadly defined to encompass rapidly growing and densely populated areas.
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