Open AccessDevelopment of Quality Control Tools for ARCMAP using Python
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k2461.0981119
Subject(s) - python (programming language) , computer science , suite , data mining , geographic information system , gis applications , quality (philosophy) , information retrieval , database , remote sensing , geography , programming language , philosophy , archaeology , epistemology
Topological error free data in the database is very essential for Geographic Information System (GIS) analysis. To minimize some of the most common GIS errors, five Quality Assessment/Quality Control tools has indigenously discussed in this paper, namely Auto registration tool, Dangles correction tool, Irrelevant points removal Tool, Delete polygon less than 4 vertices and Connect and Split using the programming language Python. Tools are developed for ArcMap environment for more effective data cleaning and validation. ArcMap is one of the main components in Architecture Geographical Information system (ArcGIS) suite. These tools will be helpful to identify the possible errors in a particular sheet and will navigate user to the error positions. These tools not only finds the errors they also provides several solutions to solve those errors in automatic or semi-automatic mode, hence making the data best suited for use in GIS. This paper describes the brief details of all the 5 developed tools, and also demonstrates the benefits of applying these tools.