IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Geographic Information Networks in American Indian Governments and Communities

Geographic Information Networks in American Indian Governments and Communities
View Sample PDF
Author(s): Mark H. Palmer (University of Missouri-Columbia, USA)and Jack Hanney (University of Missouri-Columbia, USA)
Copyright: 2010
Volume: 2
Issue: 2
Pages: 10
Source title: International Journal of Virtual Communities and Social Networking (IJVCSN)
Editor(s)-in-Chief: Subhasish Dasgupta (George Washington University, USA)and Rohit Rampal (State University of New York at Plattsburgh, USA)
DOI: 10.4018/jvcsn.2010040101

Purchase

View Geographic Information Networks in American Indian Governments and Communities on the publisher's website for pricing and purchasing information.

Abstract

This article describes advantages and disadvantages of federal government centralized geographic information networks and decentralized peer-to-peer geographic information networks as they pertain to North American Indian tribal governments and communities. Geographic information systems (GIS) are used by indigenous groups for natural resource management, land claims, water rights, and cultural revitalization activities on a global-scale. North American groups use GIS for the same reasons, but questions regarding culturally appropriate GIS, cross-cultural understandings of geographic knowledge, and cultural assimilation through Western digital technologies have been raised by scholars. Two network models are germane to American Indian government operations and community organizations. The first is a prescriptive top-down network emanating from federal government agencies. Federal agencies are responsible for the diffusion of nationwide GIS programs throughout indigenous communities in the United States. A second, potentially more inclusive model is a decentralized peer-to-peer network in which all nodes are responsible for the success of the network.

Related Content

Dhruv Sabharwal. © 2024. 9 pages.
Jarno Ojala, Anton Fedosov, Thomas Olsson, Kaisa Väänänen, Marc Langheinrich. © 2024. 19 pages.
. © 2024.
. © 2024.
Marian Tsegah, George Clifford Yamson. © 2023. 15 pages.
Seok Kang, Brianna Villarreal, Serenity Morales. © 2023. 24 pages.
Nolan A. Lyons, Ashley Redding, Laura L. Susick, Emily M. Leydet, Michael A. Tyra, Sara Santarossa. © 2023. 15 pages.
Body Bottom