Introducing Geographic Information Systems with ArcGIS: A Workbook Approach to Learning GIS

Introducing Geographic Information Systems with ArcGIS: A Workbook Approach to Learning GIS pdf

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785

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英语

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地理

页数:

50

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18627617 MB

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迈克尔·古德柴尔德 是一位地理学家,也是地理信息科学 (GIS) 领域的先驱。 他于 1944 年 2 月 24 日出生于英国萨里郡,1969 年在布里斯托尔大学获得地理学博士学位。

迈克尔·古德柴尔德 以其在 GIS、空间分析和遥感方面的研究而闻名。 他撰写或与他人合着了超过 15 本书和 500 多篇文章,并因其在地理和 GIS 领域的贡献而获得了无数奖项。

除了他的学术工作外,Goodchild 还参与了与 GIS 相关的各种组织和活动,包括担任“地理分析”期刊的编辑以及美国国家地理信息和分析中心 (NCGIA) 的创始主席 美国。

迈克尔·古德柴尔德 目前是加州大学圣塔芭芭拉分校的名誉地理学教授,并继续积极从事研究和教学。

书的描述

Introducing Geographic Information Systems with ArcGIS: A Workbook Approach to Learning GIS pdf 迈克尔·古德柴尔德

"Introducing Geographic Information Systems with ArcGIS: A Workbook Approach to Learning GIS" is a comprehensive guide to Geographic Information Systems (GIS) written by Michael Goodchild. The book is designed to provide students with a practical, hands-on approach to learning GIS using the ArcGIS software.

The book is organized into chapters that cover the fundamental concepts of GIS, including data structures, data sources, spatial analysis, and cartography. Each chapter includes a series of exercises that guide the reader through the process of using ArcGIS to perform specific GIS tasks.

The exercises are designed to be interactive and engaging, with step-by-step instructions and screenshots that illustrate each step of the process. The book also includes data sets and sample maps that allow readers to apply their newfound GIS skills to real-world problems.

One of the key strengths of "Introducing Geographic Information Systems with ArcGIS" is its accessibility to readers with different levels of GIS experience. The book is written in clear, concise language that is easy to understand, even for those who are new to GIS. Goodchild also provides helpful tips and troubleshooting advice to help readers overcome common challenges.

Another strength of the book is its focus on practical applications of GIS. Each chapter includes exercises that are designed to simulate real-world scenarios, such as analyzing crime patterns or mapping environmental hazards.

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