| The
Goal: |
By mid-April, it is hoped to be able to do the following:
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Analyze neighborhood patterns within Grand Rapids using a
combination of assets and needs-based data
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Develop a prototype index of neighborhoods based on a fusion
of the data sets that can be used for community development decisions
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Identify an interesting subset of neighborhoods
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Visualize the data through animation
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| To Do: |
The following are the anticipated next steps:
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Reduce data sets to cover Grand Rapids only
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View data on a census block level
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Aggregate point data sets up to blocks
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Disaggregate block group data to the block level
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Develop a binary segmentation of each data set
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Create a single index of the multiple data sets
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Identify blocks that receive a certain score on this index
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Animate Grand Rapids patterns based on multiple data sets
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Questions or comments
can be directed to Marc Schlossberg. |