7.1: Introduction
- Page ID
- 20591
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In Chapter 6 “Data Characteristics and Visualization,” we discussed different ways to query, classify, and summarize information in attribute tables. These methods are indispensable for understanding the fundamental quantitative and qualitative trends of a dataset. However, they do not take particular advantage of the greatest strength of a geographic information system (GIS), notably the direct spatial relationships. Spatial analysis is a fundamental component of a GIS that allows for an in-depth study of a dataset or datasets’ topological and geometric properties. This chapter discusses the basic spatial analysis techniques for vector datasets.
Learning Objectives
- Familiarize yourself with concepts and terms related to the variety of single overlay analysis techniques available to analyze and manipulate the spatial attributes of a vector feature dataset.
- Explain the concepts and terms related to implementing basic multiple-layer operations and methodologies used on vector feature datasets.
GTCM Alignment
Chapter Sections
- 7.1 Introduction
- 7.2 Single Layer Analysis
- 7.3 Multiple Layer Analysis
- 7.4 References