Cognitive Mapping and GIS for Community-Based Resource Identification

Cognitive Mapping and GIS for Community-Based Resource Identification

Lyn Kathlene
Copyright: © 2009 |Pages: 19
ISBN13: 9781591409953|ISBN10: 1591409950|EISBN13: 9781591409960
DOI: 10.4018/978-1-59140-995-3.ch044
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MLA

Kathlene, Lyn. "Cognitive Mapping and GIS for Community-Based Resource Identification." Handbook of Research on Geoinformatics, edited by Hassan A. Karimi, IGI Global, 2009, pp. 369-387. https://doi.org/10.4018/978-1-59140-995-3.ch044

APA

Kathlene, L. (2009). Cognitive Mapping and GIS for Community-Based Resource Identification. In H. Karimi (Ed.), Handbook of Research on Geoinformatics (pp. 369-387). IGI Global. https://doi.org/10.4018/978-1-59140-995-3.ch044

Chicago

Kathlene, Lyn. "Cognitive Mapping and GIS for Community-Based Resource Identification." In Handbook of Research on Geoinformatics, edited by Hassan A. Karimi, 369-387. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-59140-995-3.ch044

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Abstract

This chapter describes and analyzes the effectiveness of two methodological techniques, cognitive mapping and geographical information systems (GIS), for identifying social service resources. It also examines the processes used to integrate hand-drawn map information into geocoded data points and provides recommendations for improving efficiency and precision. As a first step to integrate Jefferson County social service delivery into community-based child welfare “systems of care” (SOC), both formal and informal services had to be identified. Cognitive mapping, a process by which participants draw visual representations of geographical areas, was conducted with 247 participants in Jefferson County, Colorado. Over 3,500 resources were identified and entered into a GIS to analyze the availability, capacity, and distribution of social services in the county and within communities. Identification of community resources via cognitive mapping and GIS analysis provide: (1) a comprehensive database of existing services; (2) a basis to build communication networks and cooperation among government and community providers; (3) the ability to create an efficient system that avoids duplication of efforts; (4) an understanding of the geographical distribution of resources; (5) the identification of resources lacking in the county and specific communities; and (6) knowledge differences among diverse participant groups.

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