Using GIS to Assess Parcel Suitability for Potential Park Locations - PowerPoint PPT Presentation

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Using GIS to Assess Parcel Suitability for Potential Park Locations

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Title: Using GIS to Assess Parcel Suitability for Potential Park Locations


1
Using GIS to Assess Parcel Suitability for
Potential Park Locations
  • Matthew Mullenax, GISP
  • Berkeley County Planning Commission

2
Study Background
  • 2006 Census estimates list Berkeley County as one
    of 100 fastest growing counties in U.S.
  • Growth has had impact on variety of public
    services, notably parks and recreation.
  • Berkeley County looking to develop long-range
    strategy for park land acquisition.
  • GIS can be used to help locate potential park
    sites via suitability modeling.
  • Pilot project performed on Martinsburg, WV.

3
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4
Suitability Modeling
  • A measure of the relative usefulness of a land
    unit for some given purpose.
  • Typically used to locate something.
  • If designed properly, the model results in
    potential locations being identified and assigned
    a relative suitability score for the activity.
  • Breaks a big problem down into smaller,
    easily-solved goals which are combined for a
    measure of suitability.

5
Suitability Modeling and GIS
6
Suitability Modeling and GIS
  • Weighted combination is one method of suitability
    modeling.

7
Suitability Modeling and GIS
  • Weighted combination is one method of suitability
    modeling.
  • Weighted Sum Tool available with ESRI ArcGIS 9.2
    Spatial Analyst extension license.

8
Suitability Modeling and GIS
  • Weighted combination is one method of suitability
    modeling.
  • Weighted Sum Tool available with ESRI ArcGIS 9.2
    Spatial Analyst extension license.
  • Three major steps must be completed before
    running the tool
  • Select evaluation or utility scale.
  • Set scale or suitability values for inputs.
  • Assign weights to inputs.

9
Building the model
  • Appropriate evaluation criteria
  • Population
  • Existing parks
  • Roads

10
Determine suitability of each input
  • Population high population is preferred
  • Existing parks areas distant from existing
    parks preferred
  • Roads close proximity to major roads is
    preferred

11
1. Select evaluation or utility scale
  • Evaluation or utility scale works to normalize
    all input raster datasets.
  • A linear scale of 1 to 9 by 1 has proven to be
    workable.
  • gt9 values difficult to visually comprehend lt9
    values can decrease sensitivity

12
Range of Suitability Values on Utility Scale
  • 1 lowest suitability
  • 2 very low suitability
  • 3 low suitability
  • 4 moderately low suitability
  • 5 moderate suitability
  • 6 moderately high suitability
  • 7 high suitability
  • 8 very high suitability
  • 9 highest suitability

13
2. Set scale or suitability values for inputs.
  • The cells of each input raster in the analysis
    are assigned suitability values from the utility
    scale.
  • The assignment of suitability values for a single
    layer is called Single Utility Assignment (SUA).

14
Population input
  • Central Dispatch address locations
  • Perform Density calculation
  • Use Reclassify tool to assign suitability values
    on utility scale (1 to 9 by 1)

15
Set scale values for Population input
9 11 15 8 7.9 10 7 6.2 7.8 6 4.8
6.1 5 3.6 4.7 4 2.5 3.5 3 1.6 2.4 2
0.52 1.5 1 0 0.51
Reclassify
16
Existing Parks input
  • Existing Martinsburg parks (9)
  • Perform Distance calculation
  • Use Reclassify tool to assign suitability values
    on utility scale (1 to 9 by 1)

17
Set scale values for Parks input
9 gt 5280 feet 8 4621 - 5280 7 3961 -
4620 6 3301 - 3960 5 2641 - 3300 4 1981 -
2640 3 1321 - 1980 2 661 - 1320 1 0 660
Reclassify
18
Roads input
  • Major roads (Routes 9, 11, and 45, King and Queen
    Streets, Edwin Miller Boulevard, Tavern Road)
  • Perform Distance calculation
  • Use Reclassify tool to assign suitability values
    on utility scale (1 to 9 by 1)

19
Set scale values for Roads input
9 0 660 feet 8 661 1320 7 1321 1980 6
1981 2640 5 2641 3300 4 3301 3960 3
3961 4620 2 4621 5280 1 gt 5280
Reclassify
20
3. Assign weights to inputs
  • Each input is weighted, or assigned a percentage
    influence, based on its importance.
  • The total influence for all inputs must equal 100
    percent.
  • Total Suitability (criteria1 weight1)
    (criteria2 weight2) ... (criterian
    weightn)

21
3. Assign weights to inputs
  • Each input is weighted, or assigned a percentage
    influence, based on its importance.
  • The total influence for all inputs must equal 100
    percent.
  • Total Suitability (criteria1 weight1)
    (criteria2 weight2) ... (criterian
    weightn)

22
SUAs combined to create Multiple Utility
Assignment (MUA)

(10)
(45)
(45)
23
Results in Suitability Map
24
Implementing the Suitability Map by Parcel
Assessment
25
Implementing the Suitability Map by Parcel
Assessment
  • Parcel assessment conducted using Zonal
    Statistics as Table Tool.

26
Implementing the Suitability Map by Parcel
Assessment
  • Parcel assessment conducted using Zonal
    Statistics as Table Tool.
  • Tool calculates a variety of statistics on values
    of a raster within the zones of another
    dataset.

27
Using Zonal Statistics as Table Tool
  • Zone Layer is Parcel data.
  • Value Raster is MUA.
  • Creates table of statistics joined to Parcel data
    by unique PIN.

28
Parcel Assessment
  • Parcels mapped by MAX suitability value.
  • Use of MEAN causes smaller parcels to have higher
    values overall than larger parcels.

29
Parcel Assessment (contd)
  • Select all parcels with score gt 6.75.
  • Five areas identified.
  • First area apartment complex adjacent to school
    playground church ball field (Martins
    Landing).
  • Second area apartment complex in commercial area
    (Courthouse Apartments).
  • Third area in large, phased subdivision in
    recently annexed West Side area (The Gallery).
  • Fourth area apartment complex with playground
    (Fountainhead Apartments).
  • Fifth area Downtown.

30
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31
Parcel Assessment (contd)
  • Inspect selected parcels ownership information,
    current use, etc. and determine feasibility.
  • If parcels unfeasible, run new query using next
    highest suitability values and re-perform
    inspection on newly selected parcels.

32
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33
Study Limitations/Future Considerations
  • Spatial accuracy of Roads and Address inputs in
    few small areas.
  • Lack of separation between residential vs.
    non-residential addresses.
  • Parks layer does not include school, church,
    and/or subdivision improved open spaces.
  • County inholdings, right-of-ways, municipal
    boundary shape have potential to influence
    results.
  • Method of weight determination not overly
    rigorous.
  • Consider creating distance grid from all roads
    vs. only major roads.

34
Acknowledgements
  • Steve Catlett
  • Martinsburg-Berkeley County Parks Recreation

35
Questions?
  • Matthew Mullenax, GISP
    GIS Coordinator
    Berkeley County
    Planning Commission 400
    West Stephen Street, Suite 203
    Martinsburg, WV 25401
    PH - (304) 267-5107

    FX - (304) 262-3127
    mmullenax_at_berkeleycountycomm.org
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