1 Determining Natural Resource Protection Areas for Bond Measure Acquisition Urban Growth Boundary, Portland, OR Determining Natural Resource Protection Areas for Bond Measure Acquisition Urban Growth Boundary, Portland, OR Michael Scisco 10‐March‐2005 Graduate Term Project Department of Geography Portland State University Portland, OR 97207 Michael Scisco 10‐March‐2005 Graduate Term Project Department of Geography Portland State University Portland, OR 97207 Bond Measure Acquisition Bond Measure Acquisition • Possible Metro Bond Measure in 2006 for the acquisition and maintenance of current and potential land areas • Land areas include open spaces and areas of high natural resource value – Recreation – Wildlife Habitat/Connectivity – Water Quality – Open Spaces – Invasive Species Removal • Resource protection area identification crucial for optimal land acquisition • Possible Metro Bond Measure in 2006 for the acquisition and maintenance of current and potential land areas • Land areas include open spaces and areas of high natural resource value – Recreation – Wildlife Habitat/Connectivity – Water Quality – Open Spaces – Invasive Species Removal • Resource protection area identification crucial for optimal land acquisition
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Determining Natural Resource Protection Areas for Bond Measure Acquisition
Urban Growth Boundary, Portland, OR
Determining Natural Resource Protection Areas for Bond Measure Acquisition
Urban Growth Boundary, Portland, OR
Michael Scisco10‐March‐2005
Graduate Term ProjectDepartment of GeographyPortland State University
Portland, OR 97207
Michael Scisco10‐March‐2005
Graduate Term ProjectDepartment of GeographyPortland State University
Portland, OR 97207
Bond Measure AcquisitionBond Measure Acquisition
• Possible Metro Bond Measure in 2006 for the acquisition and maintenance of current and potential land areas
• Land areas include open spaces and areas of high natural resource value
– Recreation– Wildlife Habitat/Connectivity– Water Quality– Open Spaces– Invasive Species Removal
• Resource protection area identification crucial for optimal land acquisition
• Possible Metro Bond Measure in 2006 for the acquisition and maintenance of current and potential land areas
• Land areas include open spaces and areas of high natural resource value
– Recreation– Wildlife Habitat/Connectivity– Water Quality– Open Spaces– Invasive Species Removal
• Resource protection area identification crucial for optimal land acquisition
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Portland
Beaverton
Hillsboro
Tigard
Milwaukie
Tualatin
Oregon City
West Linn
Gresham
Vancouver
Forest Grove
Wilsonville
Canby
Happy Valley
Troutdale
Sherwood
Lake Oswego
MULTNOMAH COUNTY
WASHINGTON COUNTY
CLACKAMAS COUNTY
CLARK COUNTY
Urban Growth Boundary
Oregon
Area of Interest
Multi CriteriaAnalysis
RasterCalculation
Final Map
ResourceMap
Euclidean Distance
RVAIdentification
WeightedParameters
Visualization
TotalArea
Clustering
BuildingAbsence
Area
OwnerInfo
LandValue
ZoningInfo
ImageAnalysis
Ownership
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Multi‐Criteria AnalysisMulti‐Criteria Analysis
• Situation with multiple parameters influencing the outcome of an analysis
• Delphi Group Method is desirable for multi‐criteria analysis
• Used informal conversations with natural resource experts from the Audubon Society, USFS, Metro, and local watershed organizations
• Assigned weighted parameters based upon expert opinion, literature review, and personal knowledge
• Situation with multiple parameters influencing the outcome of an analysis
• Delphi Group Method is desirable for multi‐criteria analysis
• Used informal conversations with natural resource experts from the Audubon Society, USFS, Metro, and local watershed organizations
• Assigned weighted parameters based upon expert opinion, literature review, and personal knowledge
Multi CriteriaAnalysis
RasterCalculation
Final Map
ResourceMap
Euclidean Distance
RVAIdentification
WeightedParameters
Visualization
TotalArea
Clustering
LandValue
Area
OwnerInfo
LandValue
ZoningInfo
ImageAnalysis
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Parameters for AnalysisParameters for Analysis
Floodplains
Salmonid Habitat Hydric Soils Proximity to Waterbodies
Slopes >25% Tree Cover
Vacant Land Wetland Areas
20Vacant Land
10Floodplains
5Hydric Soils
10Wetlands
15Salmonid Habitat
10Tree Cover
15Proximity to Waterbodies
15Slope >25%
Weighted Value (%)Parameter
Assigned Weights of the Parameters Used in the Multi-Criterial Analysis
*Higher values indicate greater influence in determining resource areas
1Extent of Study
Area
2540
3480
4420
5360
6300
7240
8180
9120
1060
Weighted Value*
Distance From Resource Area (in
feet)
Euclidean Distance Model Used in the Spatial Analysis
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Multi CriteriaAnalysis
RasterCalculation
Final Map
ResourceMap
Euclidean Distance
RVAIdentification
WeightedParameters
Visualization
TotalArea
Clustering
BuildingAbsence
Area
OwnerInfo
LandValue
ZoningInfo
ImageAnalysis
Ownership
Highest Resource Value
High Resource Value
Low Resource Value
Moderate Resource Value
Resource Map
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Accuracy AssessmentAccuracy Assessment
The green area shown here is owned by the Wetlands Conservancy
The green area shown here is owned by the Wetlands Conservancy
Accuracy AssessmentAccuracy Assessment
The area outlined in green is currently owned by Metro
The area outlined in green is currently owned by Metro
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Multi CriteriaAnalysis
RasterCalculation
Final Map
ResourceMap
Euclidean Distance
RVAIdentification
WeightedParameters
Visualization
TotalArea
Clustering
BuildingAbsence
Area
OwnerInfo
LandValue
ZoningInfo
ImageAnalysis
Ownership
Additional Criteria AnalysisAdditional Criteria Analysis
• Selected RVAs using four additional criteria
– Adjacency to other RVAs (clustering)– Total Area– Ownership– Absence of buildings
• Selected RVAs using four additional criteria
– Adjacency to other RVAs (clustering)– Total Area– Ownership– Absence of buildings
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Multi CriteriaAnalysis
RasterCalculation
Final Map
ResourceMap
Euclidean Distance
RVAIdentification
WeightedParameters
Visualization
TotalArea
Clustering
BuildingAbsence
Area
OwnerInfo
LandValue
ZoningInfo
ImageAnalysis
Ownership
"FID" =206922 OR "FID" =206935 OR "FID" =206967 OR "FID" =206984 OR "FID" =206923 OR "FID" =206913 OR "FID" =206914 OR "FID" =206915 OR "FID" =206908 OR "FID" =206910 OR "FID" =119036 OR "FID" =119052 OR "FID" =119075 OR "FID" =119108 OR "FID" =119121 OR "FID" =119039 OR "FID" =119041 OR "FID" =119089 OR "FID" =119090 OR "FID" =119122 OR "FID" =119123 OR "FID" =129081 OR "FID" =129095 OR "FID" =457996 OR "FID" =458844 OR "FID" =461632 OR "FID" =461287 OR "FID" =461289 OR "FID" =461290 OR "FID" =455232 OR "FID" =455379 OR "FID" =455381 OR "FID" =455440 OR "FID" =455490 OR "FID" =455643 OR "FID" =455642 OR "FID" =455641 OR "FID" =452111 OR "FID" =452112 OR "FID" =423841 OR "FID" =423877 OR "FID" =423901 OR "FID" =423967 OR "FID" =423968 OR "FID" =424065 OR "FID" =424073 OR "FID" =397523 OR "FID" =411470 OR "FID" =411471 OR "FID" =411516 OR "FID" =411878 OR "FID" =411906 OR "FID" =388460 OR "FID" =388595 OR "FID" =388610 OR "FID" =388613 OR "FID" =388640 OR "FID" =388638 OR "FID" =388561 OR "FID" =388589 OR "FID" =388618 OR "FID" =371307 OR "FID" =371336 OR "FID" =371714 OR "FID" =389091 OR "FID" =389073 OR "FID" =397412 OR "FID" =397411 OR "FID" =397426 OR "FID" =397429 OR "FID" =389118 OR "FID" =389019 OR "FID" =389207 OR "FID" =389206 OR "FID" =206579 OR "FID" =206563 OR "FID" =206444 OR "FID" =375263 OR "FID" =376628 OR "FID" =377995 OR "FID" =423350 OR "FID" =435704 OR "FID" =435757 OR "FID" =435760 OR "FID" =411878 OR "FID" =411906 OR "FID" =309619 OR "FID" =309634 OR "FID" =272564 OR "FID" =272689 OR "FID" =119935 OR "FID" =119903
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Resource Value Area Map
Resource Value Areas
Multi CriteriaAnalysis
RasterCalculation
Final Map
ResourceMap
Euclidean Distance
RVAIdentification
WeightedParameters
Visualization
TotalArea
Clustering
BuildingAbsence
Area
OwnerInfo
LandValue
ZoningInfo
ImageAnalysis
Ownership
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Multi CriteriaAnalysis
RasterCalculation
Final Map
ResourceMap
Euclidean Distance
RVAIdentification
WeightedParameters
Visualization
TotalArea
Clustering
BuildingAbsence
Area
OwnerInfo
LandValue
ZoningInfo
ImageAnalysis
Ownership
Final RVAs
Hydric Soils
Vacant Land
Forest Cover
Slope >25%
Streams/Salmonid Habitat
Wetlands
Final Map
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Summary and Obtainable Data from RVAs(lots without buildings)
Summary and Obtainable Data from RVAs(lots without buildings)
• Total value of RVAs = $33,303,386– 1996 Bond Measure was $25,000,000
• Total Acreage of RVAs = 1,761 square acres– $18,912 per acre average
• Owner’s name and address
• Type of Land Use
• Taxlot number
• County tax code
• Total value of RVAs = $33,303,386– 1996 Bond Measure was $25,000,000
• Total Acreage of RVAs = 1,761 square acres– $18,912 per acre average
• Owner’s name and address
• Type of Land Use
• Taxlot number
• County tax code
Limitations and ShortfallsLimitations and Shortfalls
• Over‐parameterization may be an issue with the number and type of parameters chosen
• Subjective selection of parameter weights
• Lack of field referencing
• Politics of the region and Metro’s decision‐making process not considered
• Over‐parameterization may be an issue with the number and type of parameters chosen
• Subjective selection of parameter weights
• Lack of field referencing
• Politics of the region and Metro’s decision‐making process not considered
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ConclusionsConclusions
• RVAs successfully identified
• Analysis completed using readily available data and relatively simple GIS methods
• May be used in the initial identification of areas to consider for acquisition
• Framework for further analysis
• RVAs successfully identified
• Analysis completed using readily available data and relatively simple GIS methods
• May be used in the initial identification of areas to consider for acquisition
• Framework for further analysis
Questions
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