1 Project Manager: Bryan Angell GIS Analysts: Marcus Castro

Project Manager:
Bryan Angell
GIS Analysts:
Marcus Castro
Andrew Glanville
Graphic Artist:
Kyle Staples
1
Austin Humane Society
Geospatial Analysis & GIS Database Development
Presented for:
AHS – Austin Humane Society
Prepared by:
G.P.S. – Geospatial Pet Solutions
In Association with:
2
Table of Contents
Introduction ..................................................................................................................... 4
Data................................................................................................................................. 7
Methodology.................................................................................................................... 8
Results & Conclusion .................................................................................................... 13
References .................................................................................................................... 18
Appendix I: Participation................................................................................................ 19
Appendix II: Maps.......................................................................................................... 20
Appendix III: Metadata .................................................................................................. 31
3
Introduction
Purpose and Objective:
The Austin Humane Society (AHS) is the largest, longest standing non-profit, nokill pet adoption center in Austin, Texas. With an intake of over 3,000 dogs and cats a year, the
shelter is looking to maximize its impact within the Austin Metropolitan Statistical Area (MSA).
The purpose of this project is to map the location of AHS adopters, donors, volunteers,
and other animal sources within the Austin MSA. These point locations will be overlaid with
demographic data by block group within the five counties in the Austin MSA. A thorough
location analysis will be conducted to determine if any underlying geospatial demographic
patterns or trends exist amongst each variable.
The objective of this project is to help identify specific areas within the Austin MSA
where AHS has the most influence. This will help better focus their off-site adoption events,
marketing campaigns and fundraising efforts which will increase AHS awareness and as a result,
lead to more pet adoptions and less homeless animals in the city of Austin, Texas.
4
Scope:
The scope of this project is focused within the Austin
Metropolitan Statistical Area (MSA) which is comprised of 5 counties located within Central
Texas:
-Travis County
-Williamson County
-Hays County
-Bastrop County
-Caldwell County
5
Understanding GIS & Geocoding
Geographic Information System (GIS) “is a set of data management and mapping
tool widely used in many disciplines for a variety of purposes.” GIS provides a powerful tool by
allowing the user to relate events of interest that have a spatial location to data contained in what
is called layers. An analogy for explaining GIS is that of a big geographic layer cake where
layers each contain different information, such as census tracts, town boundaries and city or state
parks. There is essentially no limit to how many such layers can be incorporated into a single
map for GIS analysis. The process of assigning a fixed geographic location is known as
geocoding.
Geocoding “is the process of assigning a location, such as an address, to a point in
space.” GIS software does this automatically through a self-contained database of streets and
addresses that is linked to geographic coordinates.
A key component of using computerized shelter data for GIS analysis is the quality of the
address information. Accurate address information is an essential component and limiting factor
in the success of GIS analysis. The software will automatically match each address to a
geographic location in the street database, but any unmatched addresses will need to be manually
reviewed and checked.
Literature Review:
For this project, Geospatial Pet Solutions conducted a literature review over “Use
of Geospatial Neighborhood Control Locations for Epidemiological Analysis of CommunityLevel Pet Adoption Patterns” by Gary J. Patronek, VMD, PhD. This study was conducted to
explore the joint effect of distance and neighborhood-level demographics on pet adoptions. The
6
extent of the study was eastern Massachusetts, and the study included 4700 geospatial control
locations. From this study, we learned that approximately 15% to 20% of pet-owning households
obtain their pets from shelters. The study indicates that the advantage of combining geospatial
techniques with epidemiological methods is the ability to select controls that are numerically and
geospatially proportional to the underlying human population. This analysis provides an
opportunity to gain insight into the use of shelter services at the community level, rather than on
an individual-client level.
The purpose of the study was to use client segmentation and geographic analysis to
explore shelter adoption patterns for a suburban shelter, as well as to demonstrate the joint effect
of distance and neighborhood-level demographics on pet adoptions.
The findings of the study were that the overall patterns of adoption locations were in
block groups that had a higher median income and a higher proportion of households that were
composed of married couples with children, compared to the control locations. Proximity to the
shelter was also strongly associated with adoptions, being that the closer a client lives to the
shelter, the more likely they are to adopt from that shelter.
2. Data

Animal sources for AHS by zip code, species (feline and canine), and age group (adult
and juvenile),

Sources located within Austin MSA (municipal & county shelters, animal controls,
rescue groups, and non-profit (501(c) 3) humane societies),

Dog and cat adoptions by address and species,

AHS volunteers (Dog, cat, foster, adoption and event by address),

Donors (Above/Below $500),
7

Demographic Data: Census 2000 (median income, population, & block groups).
3. Methodology
Geocoding AHS address data
Microsoft Excel Files including data about adoptions, volunteers, and donations
was obtained from the Austin Humane Society. These Excel files had the addresses for all
adopters of dogs and cats, volunteers, and donors. From here, these files needed to be checked
for any errors including possible missing addresses, wrong/invalid addresses, or addresses that
fell outside of the study area (Austin MSA). To do this, an address locator was created in
ArcCatalog and utilized to obtain the desired spatial locations of the adopters, donors, and
volunteers. The address locator interpolates the locations of the street numbers and places point
data on them.
Our match rate for the addresses averaged around 70% for the project. We were able to
get a slightly better match rating for the donors and volunteers because of the quality of the data
and because more of those people fall within the Austin MSA. These points were joined to the
Census Block Groups in order to obtain a count of points that fall within each polygon. Using
graduated symbology, the block groups could be normalized with demographic data such as
median income. For the analysis of donors, this would produce a map illustrating the amount of
money that the public are donating in relation to the amount of income their household receives.
The point data is also displayed by simply overlaying it onto the base maps and census data
block groups.
8
Geocoding Agency Locations
The data we used was from the Agency Activity (2009 &2010) reports given to us
by AHS. These excel documents highlighted the different agencies AHS had contact with or was
simply aware of. The sheets listed the agencies name and number of intakes they had from that
particular agency, as well as a detailed description of each animal taken from that agency. The
only downside from this detailed spreadsheet was that it could not be imported directly into
ArcGIS to create shapefiles.
The solution to this issue was to create a new spreadsheet from scratch. The columns
used in the newly created spreadsheet was the name of the agency, street address, zip code,
whether or not the agency was a certified 501(c)3 nonprofit organization, and AHS intake from
each agency from 2009 and 2010. Each agency’s address had to be looked up individually and
recorded in the spreadsheet. We also looked up all of the agencies listed on the Agency Activity
reports and found several other locations.
After the spreadsheet was complete, it still was not able to be directly imported into
ArcGIS. The solution was to come up with a way to import the spreadsheet into Google Earth in
order to plot the points. After the points were plotted, the newly created .KML file (a
compressed zip file) was exported. We attempted to convert this .KML file directly to a shapefile
but found that the points were in their appropriate places but lost all of their attributes, so we
were unable to tell the difference between points. In order to fix this we converted the .KML file
to a .CSV (comma separated variable) file, which records each points name and
latitude/longitude. A title row was then added at the top of the .CSV file with the headings
latitude, longitude, and name and saved the file as an excel spreadsheet. We were then able to
import this file into ArcGIS and geocode each point to its true location with the names for each
9
point still attached. Since each point had a name, we were able to join the table of the agencies
based on the name to that point feature class. Now each point has all the appropriate attributes
fields attached.
We came across issues during this process that must be noted. We were not able to find a
useable address for each agency. The agencies that were unable to be located used a P.O. box
number as their address. P.O. box numbers cannot be geocoded. This is especially an issue for
those agencies that AHS has contact with.
These agencies include:
1. Kendalia Wildlife Rescue and Rehabilitation
-AHS intake 2009 was 41
-AHS intake 2010 was 33
2. Pineywoods Animal Shelter
- AHS intake 2010 was 11
3. Project K-911
- AHS intake 2010 was 10
4. PALS
- AHS intake 2010 was 15
5. Shadowcats
- AHS intake 2010 was 20
Also, Paw Match is an agency that sets up at different locations (i.e. pet smart) so we
found four different addresses and were able to geocode three locations.
10
Interactive Map Using Manifold
We imported shapefiles that were created in ArcGIS into Manifold in order to
give an interactive visualization of our analysis. Once the files were imported into Manifold, we
created a color symbology of each feature. Labels were created for the Austin Humane Society,
501(c)3 Agencies, and the counties that fell within Austin Humane Societies MSA. After all the
shapefiles (termed drawings in Manifold) were imported and properly symbolized, maps of all
the features were created. We then exported the created Manifold map as a web page.
Project Flowchart:
11
4. Results & Conclusions
The census block groups with the highest instances of dog adoptions, cat adoptions,
volunteers, and donations were indentified and mapped respectively. These high volume census
block groups were identified individually on the resulting maps and labeled with callout boxes.
Next, a reference table was created for each map, with the callout labels corresponding with a
unique map reference number for each block group. The reference tables include the map
reference number, tract number, block group number, city, zip code, and 1999 median income
for each block group. Also included in the reference tables was a reference intersection for each
block group. These reference intersections were chosen from among the major streets and
highways that fall within each block group. Major intersections were selected whenever possible,
although some of the block groups are strictly residential areas that do not include any major
intersections. These reference intersections were included simply to provide a spatial reference
as to the general locations of the block groups within the MSA. Because the block groups are
large and cover areas of differing size, including a reference area that encompassed the entire
extents of the block groups was not possible. These reference intersections were used instead.
The block groups identified in the high volume maps are the areas that Geospatial Pet
Solutions suggests for the Austin Humane Society to focus their efforts within. For instance, the
census block groups identified in the high volume volunteers map (See appendix I) would be
ideal areas for the Austin Humane Society to focus their volunteer sign-up and marketing efforts.
By identifying these high volume operation areas, the Austin Humane Society can more
efficiently and effectively work to save homeless animals within the MSA. The individual high
volume area maps included in this project are: volunteers, dog adoptions, cat adoptions, donors
of less than $500, and donors of greater than $500.
12
Volunteers
The census tract block groups with the highest numbers of volunteers occurred mostly on
the west side of Austin/Travis County, with additional high volume block groups occurring in
Georgetown, TX and Pflugerville, TX inside Williamson County (See appendix I). The annual
median incomes in 1999 for these high volume volunteer block groups ranged from $57,969.00
to $147,854.00. These annual median income values were among the higher values distributed
across the MSA. This indicates that the likelihood of volunteering time with the Austin Humane
Society is correlated with a higher annual median income. The number of volunteers in these
block groups for 2009/2010 ranges from 5 to 12. Included below. (Fig. 1.1)
Fig. 1.1 High Volume Volunteer Block Groups
Map
Reference
Tract/Block
City, Zip
Reference
Intersection
Median Income
1999
Number of
Volunteers
V1
020601/3
Georgetown,
78628
RR 2243 & I-35
$76,350.00
12
V2
001716/1
Austin,
78759
$115,176.00
10
V3
020502/2
$89,459.00
8
V4
001760/1
$105,478.00
7
V5
001762/2
$103,050.00
7
V6
001839/1
$57,969.00
7
V7
001769/2
$63,173.00
6
V8
001836/1
FM 685 & Wilke Ln
$78,879.00
5
V9
001913/1
Loop 360 &
Westlake Dr
$147,854.00
5
Round Rock,
78717
Austin,
78726
Travis
Southwest,
78738
Austin,
78728
Austin,
78736
Pflugerville,
78660
Austin,
78746
Loop 360 &
Spicewood Springs
Rd
W Parmer Ln &
Avery Ranch Blvd
RR 620 & Steiner
Ranch Blvd
RR 620 & Falcon
Head Blvd
I-35 & W Howard
Ln
US 290 & Scenic
Brook Dr
13
Dog Adoptions
The census tract block groups with the highest numbers of dog adoptions occurred
mainly in west and northwest Austin/Travis County, and south Williamson County, with one
block group occurring in southeast Austin. The annual median income in 1999 ranged in these
areas from $15,633.00 in southeast Austin to $105,478.00 in west Austin. (See Appendix II) The
low value of $15,633.00 is an outlier value, being $45,639.00 less than the next lowest value. All
of the other median income amounts were in the high range of values for the MSA. This area of
southeast Austin has a high number of college students living within it, possibly accounting for
the high number of dog adoptions that occur. The other block groups all display median income
values that were in the high range within the MSA, suggesting a correlation between higher
annual income and likelihood to adopt a dog. The number of adopters for 2009/2010 in these
block groups ranges from 17 to 26. The reference table for the high volume dog adopter areas
map is included below. (Fig 1.2)
Fg. 1.2 High Volume Dog Adopter Block Groups
Map
Reference
Tract/Bloc
k
D1
D2
D3
001836/1
020407/1
001714/1
D4
002311/1
D5
D6
020502/2
001760/1
D7
021501/1
D8
001837/1
City, Zip
Pflugerville,
78660
Jollyville, 78729
Austin, 78730
Austin, 78741
Round Rock,
78717
Austin, 78726
Round Rock,
78665
Pflugerville,
78660
Median Income
1999
Number of
Adopters
FM 685 & Wilke Ln
FM 734 & Anderson Mill Rd
RR 620 & RM 2222
S Pleasant Valley Rd & S
Lakeshore Blvd
W Parmer Ln & Avery Ranch
Blvd
RR 620 & Steiner Ranch Blvd
$78,879.00
$73,138.00
$100,031.00
26
25
25
$15,633.00
21
$89,459.00
$105,478.00
20
18
I-35 & Teravista Pkwy
$61,272.00
17
FM 685 & Gattis School Rd
$69,356.00
17
Reference Intersection
14
Cat adoptions
The census block groups with the highest volume of cat adoptions occurred in northeast
and northwest Austin, as well as in southeast and southwest Williamson County, specifically
within the cities of Hutto, Pflugerville, and Round Rock. (See Appendix III) These high volume
cat adopter areas ranged in annual median income 1999 from $55,455.00 to $100,031.00. As
with the volunteer and dog adoption areas, these median income values are in the high range for
the MSA. This once again suggests a correlation between higher annual income and likelihood to
adopt a cat. Unlike the volunteer and dog adoption areas, the cat adoption areas did not occur
heavily in the west Austin/Travis County area. This indicates that the likelihood of adopting a
dog or a cat varies by location, and that cat adoptions are more popular in the areas of north
Austin and South Williamson County than in west Austin/Travis County. The number of
adopters in these block groups for 2009/2010 ranges from 15 to 38. The reference table for the
high volume cat adoption areas is included below. (Fig. 1.3)
Fig. 1.3 High Volume Cat Adopter Block Groups
Map
Reference
C1
Tract/Block
001714/1
C2
001837/1
C3
001836/1
C4
020502/2
C5
C6
001841/1
020801/4
C7
001847/2
C8
020501/1
City, Zip
Austin, 78730
Pflugerville,
78660
Pflugerville,
78660
Round Rock,
78717
Pflugerville,
78660
Hutto, 78634
Austin, 78727
Round Rock,
78717
Reference
Intersection
RR 620 & RM 2222
FM 685 & Gattis
School Rd
Median Income
1999
$100,031.00
Number of
Adopters
38
$69,356.00
33
FM 685 & Wilke Ln
W Parmer Ln & Avery
Ranch Blvd
Wells Branch Pkwy &
10th St
US 79 & Park St
N Mopac and Century
Park Blvd
RM 620 & Great Oaks
Blvd
$78,879.00
28
$89,459.00
27
$69,227.00
$55,455.00
25
21
$61,905.00
16
$83,637.00
15
15
Donors less than $500
The census block areas with the highest volume of donations less than $500 were located
exclusively in the west sides of Austin/Travis County and Williamson County (See Appendix
IV). The high volume donors of less than $500 areas of Williamson County were located within
the cities of Georgetown, Round Rock, and Cedar Park. The range of 1999 annual median
incomes for these areas is from $68,607.00 to $127,762.00. These high value median incomes
indicate a correlation between higher annual income and likelihood to donate an amount less
than $500 to the Austin Humane Society. The range of donors in these block groups for
2009/2010 is from 57 to 118. The reference table for the donors of less than $500 map is
included below (Fig. 1.4)
Fig 1.4 High Volume Donor Block Groups – Less Than $500
Map
Reference
Tract/Block
City, Zip
DL1
001732/4
Austin, 78749
DL2
001761/1
Austin, 78730
DL3
001908/1
Austin, 78736
DL4
001716/1
DL5
020502/2
DL6
020101/1
DL7
020501/1
DL8
001765/2
DL9
020601/3
Austin, 78759
Round Rock,
78717
Georgetown,
78633
Round Rock,
78717
Cedar Park,
78613
Georgetown,
78628
Reference
Intersection
S Mopac & W
Slaughter Ln
RM 2222 & Bell
Mountain Dr
TX 71 & Thomas
Springs Rd
Loop 360 &
Spicewood Springs Rd
W Parmer Ln & Avery
Ranch Blvd
Williams Dr &
Lakewood Dr
RM 620 & Great Oaks
Blvd
RR 1431 & Anderson
Mill
Median Income
1999
Number of
Donors
$106,467.00
118
$127,762.00
96
$101,477.00
85
$115,176.00
77
$89,459.00
69
$68,607.00
62
$83,637.00
60
$68,214.00
58
RR 2243 & I-35
$76,350.00
57
16
Donors greater than $500
The census tract block groups with the highest volume of donors of more than $500 all
occurred in the southwest region of Austin/Travis County. (See Appendix V) The range of
median income for 1999 of these block groups was from $101,477.00 to $127,762.00. These
high income values indicate a strong relationship between high annual income and likelihood of
donating more than $500. The number of donors for 2009/2010 in these block groups ranges
from 6 to 14. The reference table for the donors of more than $500 is included below. (Fig 1.5)
Fig 1.5High Volume Donor Block Groups – More Than $500
Map Reference
Tract/Block
City, Zip
DG1
001761/1
Austin, 78730
DG2
001908/1
Austin, 78736
DG3
001732/4
DG4
001762/2
Austin, 78749
Travis
Southwest,
78738
Reference
Intersection
RM 2222 &
Bell Mountain
Dr
TX 71 &
Thomas
Springs Rd
S Mopac & W
Slaughter Ln
RR 620 &
Falcon Head
Blvd
Median
Income 1999
Number of
Donors
$127,762.00
14
$101,477.00
11
$106,467.00
8
$103,050.00
6
17
References
Patronek, Gary J. "Use of Geospatial Neighborhood Control Locations for
Epidemiological Analysis of Community-Level Pet Adoption Patterns.”
American Journal of Veterinary Medicine. 71, no. 11 (November 2010).
Patronek, Gary J. “Using Geographic Information Systems to Understand
Community Patterns id Animal Health and Shelt Population Dynamics.”
83rd Annual Western Veterinary Conference. SA266. (November 2010)
Capital Area Council of Governments. "Information Clearinghouse." CAPCOG
Web Site. 2011. http://www.capcog.org/informationclearinghouse/geospatial-data/
(accessed February 26, 2011).
ESRI. "World Street Map." ArcGIS Online. 2011.
http://www.esri.com/software/arcgis/arcgisonline/world-street-map.html
(accessed April 25, 2011).
United States Census Bureau. "Data Access Tools." U.S.Census Bureau. 2000.
http://www2.census.gov/census_2000/datasets/ (accessed March 12, 2011)
Link to Project Website:
http://geosites.evans.txstate.edu/g4427/2011/S11/GPS/
Link to Interactive Map:
http://geo-305577.evans.txstate.edu/ahs
18
Appendix I: Participation
Bryan Angell – Project Manager





Census Data Research/ Download
Final preparation of reports and PowerPoint files
Census Block Group analysis/joining
Creation of high count tables/maps
Final map preparation/design
Marcus Castro – GIS Analyst





Base map collection
Methodology
Creation of Agency Database/Map
Created map of juvenile/adult pets
Construction of Manifold interactive map
Andrew Glanville – GIS Analyst





Review/Edit/Import Excel Files
Created Address Locator/ Performed Geocoding
Performed Spatial Joining Analysis
Flowchart
Metadata
Kyle Staples – GIS Analyst





Literature Review
Poster Design
“What is GIS?” preparation/presentation
Web Site Design
Compiling of Final Report
19
Appendix II: Maps
20
21
22
23
24
25
26
27
28
29
30
Appendix III: Metadata
AHS_Location
Identification_Information:
Citation:
Citation_Information:
Originator: Geospatial Pet Solutions
Publication_Date: 02/28/2011
Title: AHS Location
AHS_location
Geospatial_Data_Presentation_Form: vector digital data
Online_Linkage: \\GEO-311306\F$\AHS PROJECT\All
Data\Basefiles\AHS_location.shp
Description:
Abstract:
Point data of the location of the Austin Humane Society
Purpose:
To be used for spatial analysis related to location data of AHS
Calendar_Date: February 2011
Currentness_Reference:
Current as of 2011 geo code
Status: Current
Progress: Complete
Maintenance_and_Update_Frequency: None
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -97.705839
East_Bounding_Coordinate: -97.705839
North_Bounding_Coordinate: 30.344563
South_Bounding_Coordinate: 30.344563
Keywords:
Theme:
Theme_Keyword_Thesaurus: Austin Humane Society
Theme_Keyword: AHS, Austin Humane Society, point, data
Access_Constraints: None
Use_Constraints:
None
Native_Data_Set_Environment:
Microsoft Windows Vista Version 6.1 (Build 7600); ESRI ArcCatalog 9.3.1.4000
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
31
SDTS_Point_and_Vector_Object_Type: Entity point
Point_and_Vector_Object_Count: 1
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Lambert Conformal Conic
Lambert_Conformal_Conic:
Standard_Parallel: 30.116667
Standard_Parallel: 31.883333
Longitude_of_Central_Meridian: -100.333333
Latitude_of_Projection_Origin: 29.666667
False_Easting: 2296583.333333
False_Northing: 9842500.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000000
Ordinate_Resolution: 0.000000
Planar_Distance_Units: survey feet
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: AHS_location
Attribute:
Attribute_Label: FID
Attribute_Definition:
Internal feature number.
Attribute_Definition_Source:
ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: Shape
Attribute_Definition:
Feature geometry.
Attribute_Definition_Source:
ESRI
32
Attribute_Domain_Values:
Unrepresentable_Domain:
Coordinates defining the features.
Attribute:
Attribute_Label: Status
Attribute:
Attribute_Label: Score
Attribute:
Attribute_Label: Match_type
Attribute:
Attribute_Label: Side
Attribute:
Attribute_Label: X
Attribute:
Attribute_Label: Y
Attribute:
Attribute_Label: Stan_addr
Attribute:
Attribute_Label: Ref_ID
Attribute:
Attribute_Label: Match_addr
Attribute:
Attribute_Label: ARC_Street
Attribute:
Attribute_Label: Name
Attribute:
Attribute_Label: Address
Attribute:
Attribute_Label: City
Attribute:
Attribute_Label: State
Attribute:
Attribute_Label: Phone
Distribution_Information:
Resource_Description: Downloadable Data
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Transfer_Size: 0.000
Metadata_Reference_Information:
Metadata_Date: 20110504
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
33
Contact_Organization: Geospatial Pet Solutions
Contact_Person: Andrew Glanville
Contact_Address:
Address_Type: 601 University Blvd.
City: San Marcos
State_or_Province: Texas
Postal_Code: 78666
Contact_Voice_Telephone: 281-732-2123
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial
Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
Metadata_Extensions:
Online_Linkage: http://www.esri.com/metadata/esriprof80.html
Profile_Name: ESRI Metadata Profile
AHS ADDRESS LOCATOR
Identification_Information:
Citation:
Citation_Information:
Originator: Geospatial Pet Solutions
Publication_Date: 03/20/2011
Title:
AHS Address Locator
Description:
Abstract:
Address Locator file using regional roads in the CAPCOG region
Purpose:
Used to geocode addresses in the Austin MSA
Calendar_Date: 2011
Currentness_Reference: 2011
Status: Complete
Progress: Complete
Theme:
Theme_Keyword_Thesaurus: Address Locator
Theme_Keyword: AHS, Address, Locator, geocode
Access_Constraints: None
Use_Constraints:None
Native_Data_Set_Environment:
Microsoft Windows Vista Version 6.1 (Build 7600) ; ESRI ArcCatalog 9.3.1.4000
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
34
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Map_Projection:
Map_Projection_Name: Lambert Conformal Conic
Lambert_Conformal_Conic:
Standard_Parallel: 30.116667
Standard_Parallel: 31.883333
Longitude_of_Central_Meridian: -100.333333
Latitude_of_Projection_Origin: 29.666667
False_Easting: 2296583.333333
False_Northing: 9842500.000000
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: coordinate pair
Coordinate_Representation:
Abscissa_Resolution: 0.000328
Ordinate_Resolution: 0.000328
Planar_Distance_Units: survey feet
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Resolution: 1.000000
Altitude_Encoding_Method: Explicit elevation coordinate included with horizontal
coordinates
Metadata_Reference_Information:
Metadata_Date: 20110504
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: Geospatial Pet Solutions information.
Contact_Person: Andrew Glanville
Contact_Address:
Address_Type: 601 University Dr.
City: San Marcos
State_or_Province: Texas
Postal_Code: 78666
Contact_Voice_Telephone: 281-732-2123
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial
Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time
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Metadata_Extensions:
Online_Linkage: http://www.esri.com/metadata/esriprof80.html
Profile_Name: ESRI Metadata Profile
36