| snippet:
|
In a collaboration with ESRGC at Salisbury University and the City of Salisbury a study was conducted in 2019 and again in 2024 identifying contributing factors leading to property degradation. Student interns were sent into the field using a customized digital survey application and tablets to collect data via a property condition survey, measuring a variety of risk variables leading to property degradation. |
| summary:
|
In a collaboration with ESRGC at Salisbury University and the City of Salisbury a study was conducted in 2019 and again in 2024 identifying contributing factors leading to property degradation. Student interns were sent into the field using a customized digital survey application and tablets to collect data via a property condition survey, measuring a variety of risk variables leading to property degradation. |
| extent:
|
[[-75.6429480304744,38.3261063073488],[-75.5022274192124,38.4230338573068]] |
| accessInformation:
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City of Salisbury, ESRGC, Salisbury University and support from the Tri-County Council for the Lower Eastern Shore and the Rural Maryland Council through the Rural Maryland Prosperity Investment Fund |
| thumbnail:
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thumbnail/thumbnail.png |
| maxScale:
|
1.7976931348623157E308 |
| typeKeywords:
|
["ArcGIS","ArcGIS Server","Data","Feature Access","Feature Service","providerSDS","Service"] |
| description:
|
|
| licenseInfo:
|
<div style='text-align:Left;'><div><div><p><span>Contact City of Salisbury prior to using data</span></p></div></div></div> |
| catalogPath:
|
|
| title:
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Housing Study 2024 |
| type:
|
Feature Service |
| url:
|
|
| tags:
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["housing study","Salisbury","Maryland","2024"] |
| culture:
|
en-US |
| portalUrl:
|
|
| name:
|
Housing_Study_2024 |
| guid:
|
8D270A16-2A05-429E-8445-C318C0454C99 |
| minScale:
|
0 |
| spatialReference:
|
GCS_WGS_1984 |