This book is an introductory level GIS book. Its feature lies in that not only main basic knowledge in traditional GIS are included, like mathematical basis, geographic data model, vector and raster data analysis, spatial statistics, and network analysis, as a typical GIS application is also included as a separate chapter, but also GIS customization using Python, GIS integration with remote sensing, and Web GIS, especially Cloud GIS, are included.
This book is written for undergraduate students in GIS related major, and graduate students who have some geo-spatial knowledge or skills but want to do related research, and it is also suitable for those who desire to obtain a rich beginning understanding of how GIS is used, and for those people who have already had certain skills in other fields.
Table of Contents
Chapter 1 Introduction to GIS
1．1 Definition of GIS
1．2 GIS Components
1．3 Understanding GIS
1．4 History of GIS
1．5 Applications of GIS
1．6 GIS Today and Tomorrow
1．6．1 GIS today
1．6．2 GIS tomorrow
Conceptual Questions on This Chapter
Chapter 2 Mathematical Basis of GIS
2．1 Introduction
2．2 Basics of Geodesy
2．2．1 Terrain/topography
2．2．2 Geodetic surfaces
2．2．3 Datum
2．3 Coordinate System
2．3．1 Geographic coordinate system
2．3．2 Projected coordinate system
2．4 Map Projection
2．4．1 Projection distortion
2．4．2 Commonly used map projections in GIS
2．5 Image Registration
2．5．1 What is image registration?
2．5．2 Image registration methodology
2．6 Georeferencing
2．6．1 Georeferencing of raster images
2．6．2 Georeferencing of vector data
2．6．3 Georeferencing practices
Conceptual Questions on This Chapter
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Chapter 3 Geographic Data Model
Chapter 4 Vector Spatial Analysis
Chapter 5 Raster Spatial Analysis
Chapter 6 Spatial Statistics
Chapter 7 Network Analysis
Chapter 8 GIS Customization Using Python
Chapter 9 Integration of GIS & Remote Sensing
Chapter 10 Introduction to Web GIS and Cloud GIS
References
