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Travis Scott and Avinash Shrivastava PLAN 626, Spring 2010


Intro  Create a Land Use Map for the City to:  Maintain Handle on Land Use Patterns  Database which can Keep Track of Changes  Be Used for Analysis of Land Uses and Trends  Turned into the Creation of a Dataset  A Starting Point From Which to Work  A Dynamic Dataset/Map Rather Than a Static Map


Data Acquisition  GIS Parcel data from the County Appraisal District (shapefiles)  Landmarks from County Appraisal District (shapefiles)    

Government Hospital School Park

 City of Galveston GIS data (shapefiles)         

Cemeteries Churches Colleges Liquor Stores Parks S h l Schools Overlay Zoning Subdivisions Zoning Districts

 City of Galveston land use permit data (spreadsheet data)  May 2009 high resolution aerials created by the General Land Office


Classification Methodology  The American Planning Association’s “Land‐based 

classification standard”  Chapter Six of the book “Research methods in urban 

and regional planning   and regional planning”   The City of Austin The City of Austin’s Land Use Methodology website:  s Land Use Methodology website: 

http://www.ci.austin.tx.us/landuse/survey.htm


CAD Data


Classification Methodology Code

Description

Code

Description

A1

Single Family Residential

D5

Acreage Non‐Qualifying Ag

A2

Si l F il M bil H Single Family Mobile Home

D9

A Acreage Exempt E

A3

Single Family Condo

E1

Farm and Ranch Improvements

A9

Exempt

F1

Commercial

B1

Multi Family Residential

F2

Industrial

B2

Multi Family Duplex

F9

Commercial Exempt

B9

Multi Family Exempt

J1

Utilities Water

C1

Vacant Platted Lots Residential

J2

Utilities Gas

C9

Vacant Platted Lots Residential Exempt

J3

Utilities Electric

D1

Acreage Ranch Land

J4

Utilities Telephone

D4

Acreage Undeveloped

O1

Inventory Vacant

O2

Inventory Improved


Final Classifications 1

Single‐Family Residential

9

Recreation/Parks

2

Multi‐Family Residential

10 Government

3

Residential other

11 Hospital

4

C Commercial  i l

12 Vacant V t

5

Heavy Industrial

13 Cemetery

6

Light Industrial Light Industrial

14 Transportation

7

Agricultural

15 Religious

8

School

p p 16 Open Space


C Ch ki L Cross Checking Layers


Data Problems


Over 680 Parcels with Conflicts


Marking Parcels


Conflict Resolution 1.

All Data Layers Mentioned Above

2.

May 2009 high resolution GLO aerial imagery (Post‐Ike) y 9 g G O g y( )

3.

Parcel “Name” attributes

4. Land use permit records from the city 5.

Google Street View (with discretion) ( )

6. In‐person site visits p


Final Map Produced  Colored Land Classifications  Added Major Roads  Created Insets for Clarity


Limitations  Parcels without “XREF” IDs  Overlapping Parcels with Different Classifications  No Time Stamp  Some with No “XREF” S   i h   “ R ” P Parcels in the Ocean l  i  th  O  Not Within Our Discretion  Labeled as Vacant


Implications and Analysis


Scale – 1:18,000


NETWORK ANALYSIS SERVICE AREA ‘SCHOOLS’


NETWORK ANALYSIS SERVICE AREA ‘CHURCHES’


NETWORK ANALYSIS SERVICE AREA ‘PARKS’


NETWORK ANALYSIS


NETWORK ANALYSIS


NETWORK ANALYSIS


NETWORK ANALYSIS


NETWORK ANALYSIS


NETWORK ANALYSIS


Distance – 39 Miles


Maintenance and Upkeep  Final product is a dataset from which to begin working  Continued checks and updates need to be performed 

as land uses change  Needs to be maintained against any and every 

department within the city as development occurs


Conclusion  Created a dataset from which to begin monitoring and 

updating  Can be used for a wide array of analysis related to city 

planning  Can reveal patterns and problems within the layout of 

a community  GIS represents the best tool for the job


Presentation: Advanced GIS - Creating Land Use Map for the City of Galveston, Texas  

The creation and utilization of a land use map is critical in the comprehensive planning process. By creating a land use map, a land use ana...

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