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This feature includes all related attributes for the capacity spatial analysis project for PA; the influence codes were summarized by have/need to get the final ranking. |
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This feature includes all related attributes for the capacity spatial analysis project for PA; the influence codes were summarized by have/need to get the final ranking. |
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Spatial analysis process and final data product created by M. Finch (CBF, 2021). |
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5000 |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This feature includes all related attributes for the capacity spatial analysis project for PA; the influence codes were summarized by have/need to get the final ranking.</SPAN></P><P><SPAN STYLE="font-weight:bold;text-decoration:underline;">Influence attributes</SPAN></P><P><SPAN STYLE="font-weight:bold;">influence_member / Influence - Member</SPAN><SPAN>: % of constituents within census tract broken into 5 groups by quantile breaks; HAVE capacity code from 0-4 with 4 being the highest.</SPAN></P><P><SPAN STYLE="font-weight:bold;">influence_restoration / Influence </SPAN><SPAN>- Restoration: # of sites (landowner and/or project) within a census tract; HAVE capacity code >20 is .5 and all other values are 0.</SPAN></P><P><SPAN STYLE="font-weight:bold;">influence_leadership / Influence </SPAN><SPAN>- Leadership: The weight of value given to a House/Senate representative based on values shared by CBF staff; NEED capacity code from 0-3 with 3 being the highest.</SPAN></P><P><SPAN STYLE="font-weight:bold;">influence_lcv / Influence - LCV</SPAN><SPAN>: The lifetime score given to a House/Senate representative (if there was no lifetime score this was calculated using the % D vote within the district); NEED capacity code is 0.5 for scores between 20 and 80 and all other scores given the code 0.</SPAN></P><P><SPAN STYLE="font-weight:bold;">influence_election / Influence </SPAN><SPAN>- Election: Difference between democratic and republican votes during the 2020 election in a precinct; NEED capacity code is .5 for any value ranging between -20 and 20 and all other scores given the code 0.</SPAN></P><P><SPAN STYLE="font-weight:bold;">haveInfluence_rank_1 / Have influence - Membership (rank)</SPAN><SPAN>: Calculated HAVE influence sum using the value for influence_member; >2 is HIGH and all other values are LOW.</SPAN></P><P><SPAN STYLE="font-weight:bold;">haveInfluence_rank_2 / Have influence - Membership + Rest (rank)</SPAN><SPAN>: Calculated HAVE influence sum using the value for influence_member and influence_restoration; >2 is HIGH and all other values are LOW.</SPAN></P><P><SPAN STYLE="font-weight:bold;">needInfluence_rank / Need influence (rank)</SPAN><SPAN>: Calculated NEED influence sum using the value for influence_leadership (House, Senate), influence_lcv (House, Senate), and influence_election; >2 is HIGH and all other values are LOW.</SPAN></P><P><SPAN STYLE="font-weight:bold;">capacity_rank_1 / Capacity Rank (Membership)</SPAN><SPAN>: Combine the HAVE influence that only include membership influence (haveInfluence_rank_1) with NEED influence (needInfluence_rank).</SPAN></P><P><SPAN STYLE="font-weight:bold;">capacity_rank_2 / Capacity Rank (Membership + Rest): </SPAN><SPAN>Combine the HAVE influence that includes membership and restoration influence (haveInfluence_rank_2) with NEED influence (needInfluence_rank).</SPAN></P><P><SPAN /></P><P><SPAN>This feature was updated 9/91021 to include new restoration project location and landowner count and influence values.</SPAN></P><P><SPAN /></P><P><SPAN /></P><P><SPAN /></P><P><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV> |
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Created for use by the CBF PA Office staff.</SPAN></P></DIV></DIV><DIV><P><SPAN /></P></DIV></DIV> |
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Capacity ranking |
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["PA","2021","capacity"] |
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en-US |
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150000000 |
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