978-3-659-38297-0

Modeling Open Space Acquisition in Boulder, Colorado

A Multiple Criteria Land-Use Model

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Summary:

Purchasing land for open space use is crucial for municipalities that are concerned with conserving land and mitigating urban sprawl. Land-use modeling measures the ecological vs. economic trade-off. This book develops a land-use modeling system termed Modeling Open Space Acquisition (MOSA) that quantifies the ecological value of land targeted for open space acquisition. MOSA is designed as a decision support tool for local policymakers to identify ecologically rich parcels that can be targeted by using a multi-criteria model. Each parcel in the study area (Boulder, Colorado) is ranked by weighted criteria generated from a variety of public data sources. The weighted criteria include wildlife habitat, agricultural lands, historical sites, recreation corridors, vegetative biodiversity, riparian wetlands, parcel proximity, and parcel size. MOSA provides supplemental evidence to quantifying, targeting, and prioritizing parcel acquisition for preservation. Governing agencies can benefit from land-use modeling where parcel acquisition is evaluated from a scientific classification of natural resource capital over a parcel’s economic value alone.

Author:

Kathryn Metivier

Biographie:

Kathy received a Bachelor of Arts degree in Technical Geography from the University of Colorado at Boulder and a Masters of Science degree in Geospatial Science from the University of Southern California. She works as a GIS Analyst in Colorado. Kathy is a mother of five amazing children and enjoys spending quality time outdoors.

Number of Pages:

76

Book language:

English

Published On:

2015-02-23

ISBN:

978-3-659-38297-0

Publishing House:

LAP LAMBERT Academic Publishing

Keywords:

Open Space Acquisition, Land-use Prioritization Models, Modeling Open Space, Jenks Classification Method, Parcel Selection Model, Wildlife Model, Riparian Model, Oil and Gas Model, Cultural Model

Product category:

LAW / Estates & Trusts