Geospatial considerations for a multiorganizational, landscape-scale program
Journal of Map & Geography Libraries
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Abstract
Geospatial data play an increasingly important role in natural resources management, conservation, and science-based projects. The management and effective use of spatial data becomes significantly more complex when the efforts involve a myriad of landscape-scale projects combined with a multiorganizational collaboration. There is sparse literature to guide users on this daunting subject; therefore, we present a framework of considerations for working with geospatial data that will provide direction to data stewards, scientists, collaborators, and managers for developing geospatial management plans. The concepts we present apply to a variety of geospatial programs or projects, which we describe as a “scalable framework” of processes for integrating geospatial efforts with management, science, and conservation initiatives. Our framework includes five tenets of geospatial data management: (1) the importance of investing in data management and standardization, (2) the scalability of content/efforts addressed in geospatial management plans, (3) the lifecycle of a geospatial effort, (4) a framework for the integration of geographic information systems (GIS) in a landscape-scale conservation or management program, and (5) the major geospatial considerations prior to data acquisition. We conclude with a discussion of future considerations and challenges.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Geospatial considerations for a multiorganizational, landscape-scale program |
| Series title | Journal of Map & Geography Libraries |
| DOI | 10.1080/15420353.2014.885925 |
| Volume | 10 |
| Issue | 1 |
| Year Published | 2013 |
| Language | English |
| Publisher | Haworth Information Press |
| Publisher location | Binghamton, NY |
| Contributing office(s) | Fort Collins Science Center |
| Description | 38 p. |
| First page | 62 |
| Last page | 99 |
| Google Analytic Metrics | Metrics page |