本书是入门级的GIS书籍。它的特点在于，不仅主要的基础知识包括传统的GIS，例如数学基础，地理数据模型，矢量和栅格数据分析，作为典型的GIS应用程序，空间统计和网络分析也作为单独的章节提供，但是此外，还可以使用Python进行GIS枚举，与遥感进行GIS集成以及WebGIS，尤其是Cloud包括GIS。本书是为GIS相关专业的本科生以及一些地理空间知识或技能，但想进行相关研究，也适合那些希望对GIS的使用以及对于已经使用GIS的人有一个丰富的开始的了解其他领域的某些技能。

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
Chapter 3 Geographic Data Model
3.1 Data Model
3.1.1 Raster data model
3.1.2 Vector data model
3.1.3 Geographic data formats
3.1.4 Georelational data model
3.1.5 Object-based data model
3.2 Attribute Data
3.3 Data Collection Techniques
3.4 Data Quality
3.5 Conversion Between Data Models
3.5.1 Rasterization
3.5.2 Vectorization
3.6 Spatial Data Quality(SDQ)
3.6.1 Elements of SDQ and Spatial Data Transfer Standard(SDTS)
3.6.2 SDQ and uncertainty
Conceptual Questions on This Chapter
Chapter 4 Vector Spatial Analysis
4.1 Types of Data and Problems in Spatial Analysis
4.2 Spatial Analysis Process
……
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