ABSTRACT

If you're ready to take your knowledge of ArcGIS to the next level, then you need to learn how to work with ArcObjects. But with thousands of objects, properties, and methods, how can you ever hope to sort through the ArcObjects model diagrams?

The first edition of Chang's Programming ArcObjects with VBA: A Task-Oriented Approach gave us the answer. The author's task-oriented approach shows you how to sort through the massive ArcObjects collection by examining only the objects, properties, and methods you need to perform specific tasks.

What's new in the second edition?
This edition adds macros and explanations for the new Geoprocessing object introduced in ArcGIS 9.x. Instead of treating this new feature in separate chapters, the author incorporates Geoprocessing code into the existing chapters. The code appears conveniently in boxes that allow you to easily compare sample macros.

Get Started with Ready-to-Use Code
The downloadable resources contain 95 complete ArcObjects macros and 33 Geoprocessing macros, along with datasets to execute the code. Each program begins with a short usage description and a list of key properties and methods, followed by the listing and explanation of the code itself.

Regardless of your programming experience, Programming ArcObjects with VBA: A Task-Oriented Approach, Second Edition gives you the key to unlock the power and versatility of using ArcObjects to help you manage GIS activities.

chapter 1|14 pages

ArcObjects

chapter 2|20 pages

Programming Basics

chapter 3|16 pages

Customization of the User Interface

chapter 4|16 pages

Dataset and Layer Management

chapter 5|24 pages

Attribute Data Management

chapter 6|26 pages

Data Conversion

chapter 7|26 pages

Coordinate Systems

chapter 8|32 pages

Data Display

chapter 9|26 pages

Data Exploration

chapter 10|20 pages

Vector Data Operations

chapter 11|28 pages

Raster Data Operations

chapter 12|26 pages

Terrain Mapping and Analysis

chapter 13|12 pages

Spatial Interpolation

chapter 14|24 pages

Binary and Index Models