ASPHAA: A GIS-Based Algorithm to Calculate Cell Area on a Latitude-Longitude (Geographic) Regular Grid

One characteristic of a Geographic Information System (GIS) is that it addresses the necessity to handle a large amount of data at multiple scales. Lands span over an area greater than 15 million km2 all over the globe and information types are highly variable. In addition, multi‐scale analyses invo...

Full description

Saved in:
Bibliographic Details
Published inTransactions in GIS Vol. 14; no. 3; pp. 351 - 377
Main Authors Santini, Monia, Taramelli, Andrea, Sorichetta, Alessandro
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.06.2010
Subjects
Online AccessGet full text
ISSN1361-1682
1467-9671
DOI10.1111/j.1467-9671.2010.01200.x

Cover

More Information
Summary:One characteristic of a Geographic Information System (GIS) is that it addresses the necessity to handle a large amount of data at multiple scales. Lands span over an area greater than 15 million km2 all over the globe and information types are highly variable. In addition, multi‐scale analyses involve both spatial and temporal integration of datasets deriving from different sources. The currently worldwide used system of latitude and longitude coordinates could avoid limitations in data use due to biases and approximations. In this article a fast and reliable algorithm implemented in Arc Macro Language (AML) is presented to provide an automatic computation of the surface area of the cells in a regularly spaced longitude‐latitude (geographic) grid at different resolutions. The approach is based on the well‐known approximation of the spheroidal Earth's surface to the authalic (i.e. equal‐area) sphere. After verifying the algorithm's strength by comparison with a numerical solution for the reference spheroidal model, specific case studies are introduced to evaluate the differences when switching from geographic to projected coordinate systems. This is done at different resolutions and using different formulations to calculate cell areas. Even if the percentage differences are low, they become relevant when reported in absolute terms (hectares).
Bibliography:ark:/67375/WNG-VNBHJX7B-H
ArticleID:TGIS1200
istex:AA70595505E40110EE5AF10E93C5C4F8EEC43A73
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:1361-1682
1467-9671
DOI:10.1111/j.1467-9671.2010.01200.x