Abstract

Efficiency Gains from creating Automated Grid Maps using Python
Track: Cartography and Map Production
Authors: Ji-Young Kim

A project site consists of 13 different locations that are approximately total 1.1 million square meters for the site operation. One of the biggest GIS challenges is to create grid maps by overlaying 50m x 50m grids onto the site boundaries and display two and three dimensional surface areas of the intersected areas for the operation. Due to the size of the project site, grid maps can be up to 156 layouts in some locations causing a lot of man hours for the repetitive task.
Automating repetitive processes can result in efficiency gains resulting to an increase in productivity. This can be achieved by using a combination of creating data driven pages (DDP) and Python using ArcGIS 10.0. Grid map production was successfully automated and total automation was achieved using this method. This presentation will discuss the details on how DDP and Python can be used to make this possible.