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SES UG 2020 Paper 143Visually Exploring Proximity Analyses Using SAS PRO GEOCODE and SGMAP and Public Use Data Sets Louise Hadden, Abt Associates Inc. ABSTRACT Numerous international and domestic
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How to fill out visually exploring proximity analyses

01
Start by gathering the data that you will use for your proximity analysis. This can include data on locations, distances, and attributes of the points of interest.
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Once you have the data, open your preferred software or tool for conducting proximity analyses.
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Import or load the data into the software.
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Set the parameters for your analysis, such as the distance thresholds or proximity criteria you want to use.
05
Apply the proximity analysis function or tool to the loaded data.
06
Review the results of the proximity analysis. This may include visual representations such as maps or charts.
07
Analyze and interpret the results to gain insights about the relationships and patterns in the data.
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Document or report your findings from the visually exploring proximity analyses process.

Who needs visually exploring proximity analyses?

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Visually exploring proximity analyses can be useful for various individuals and organizations, including:
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- Urban planners who want to understand the proximity of certain facilities or amenities to different neighborhoods.
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- Retailers who want to identify potential locations for their stores based on proximity to target customers or competitors.
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- Environmental scientists who study the proximity of ecological features or habitats to assess their vulnerability.
05
- Transportation planners who analyze the proximity of different transportation modes to improve connectivity.
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- Real estate developers who need to consider proximity to schools, parks, and other amenities when assessing property values.
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- Emergency response teams who need to understand the proximity of critical infrastructure or resources in disaster-prone areas.
08
- Researchers in various fields who explore spatial relationships and patterns in their data.
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Visually exploring proximity analyses is a spatial analysis technique that examines the relationship between different geographic features based on their proximity to each other.
Individuals or organizations conducting spatial analysis or research that involves analyzing proximity between geographic features may be required to file visually exploring proximity analyses.
Visually exploring proximity analyses can be filled out using Geographic Information System (GIS) software or other spatial analysis tools to visualize and analyze the spatial relationships between geographic features.
The purpose of visually exploring proximity analyses is to identify patterns, trends, or relationships between geographic features based on their proximity to each other.
Information such as the type of geographic features being analyzed, the method of proximity analysis used, and any findings or conclusions drawn from the analysis must be reported on visually exploring proximity analyses.
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