Less WellKnown GeoSpatial Datasets - PowerPoint PPT Presentation

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Less WellKnown GeoSpatial Datasets

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One point for each unique combination of current TaxPropID TaxYear ... Logic originally developed by CERI/Steen, but has been modified subsequently ... – PowerPoint PPT presentation

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Title: Less WellKnown GeoSpatial Datasets


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Less Well-Known GeoSpatial Datasets
  • Property Value History
  • Property Attribute History
  • Building Permits
  • Population Models

3
Less Well-Known GeoSpatial Datasets
  • Property Value History
  • Property Attribute History
  • Building Permits
  • Population Models

4
Property Value History
  • Relevant jocoPub FCs SDE Views
  • PropertyValueHistory_PT
  • PropertyValueHistoryFlat_PT
  • Subdivision_PL_vw1
  • Subdivision_PL_vw3
  • Relevant Layer Files
  • PropertyValueHistory.lyr
  • SubdivisionPropertyValue.lyr

(Re-created Nightly)
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PropertyValueHistory_PT
  • One point for each unique combination of current
    TaxPropID TaxYear
  • For most TaxPropIDs, there will be 12 coincident
    points (1996-2007)
  • gt 2,000,000 points

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PropertyValueHistory_PT
  • Points are located at the centroid of the "best"
    polygon for a TaxPropID

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PropertyValueHistory_PTLimitations!
  • Current TaxPropIDs
  • TaxPropIDs that existed in previous years but do
    not exist now are not represented.
  • Not every TaxPropID that exists now was in
    existence for the past 12 years.
  • Even though a TaxPropID exists now and has
    historical value data, that doesn't mean that
    that TaxPropID existed in the same configuration
    (shape or legal description) over time. 

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PropertyValueHistory.lyr
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PropertyValueHistoryFlat_PT
  • One point for each unique combination of current
    TaxPropID TaxYear
  • For most TaxPropIDs, there will be 12 coincident
    points (1996-2007)
  • gt 2,000,000 points 208,000 points

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Subdivision_PL_vw1
  • One polygon for each unique combination of
    current Subdivision TaxYear
  • For most Subdivions, there will be 12 coincident
    polygons (1996-2007)
  • 32,000 polygons

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SubdivisionPropertyValue.lyr
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Subdivision_PL_vw3
  • One polygon for each unique combination of
    current Subdivision TaxYear
  • For most Subdivisions, there will be 12
    coincident polygons (1996-2007)
  • 32,000 polygons 3,000 polygons

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1996
1997
1998
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Less Well-Known GeoSpatial Datasets
  • Property Value History
  • Property Attribute History
  • Building Permits
  • Population Models

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Small Community Focus Group
  • History is helpful when investigating a single
    parcel, but I need to know where ownership
    changes (and other property attribute changes)
    have taken place without having to investigate
    each parcel in my City.
  • "I would like to be able to receive a report each
    month that indicates which parcels in my city
    have undergone a change in ownership.  And for
    our enforcement of our rental licensing
    requirement, it would be especially nice to know
    when ownership changes on rental properties and
    can you help us locate unregistered rental
    homes.

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PropertyUpdates.xls
  • New .xls generated at the beginning of each month
    (reports updates from previous month).
  • AllFieldsSummary worksheet
  • OwnerNameDetail worksheet

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AllFieldsSummaryShapefile
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UsingAllFieldsSummaryShapefile
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Less Well-Known GeoSpatial Datasets
  • Property Value History
  • Property Attribute History
  • Building Permits
  • Population Models

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Permit_PT
  • 109,000 points
  • All Building Permits issued between February 2000
    May 2007 (currently)
  • Source APR

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Less Well-Known GeoSpatial Datasets
  • Property Value History
  • Property Attribute History
  • Building Permits
  • Population Models

37
Relevant jocoPub FCs SDE Views
(Re-created Nightly)
  • PopulationModel1_PT
  • PopulationModel2_PT
  • PopulationModel3_PT
  • Subdivision_PL_vw2
  • Commissioner_PL_vw2
  • PLSS_PL_vw1
  • PLSSQuarter_PL_vw1
  • VotingPrecinct_PL_vw2
  • More SDE Views coming

(Re-created Nightly)
(Updated Nightly)
(Updated Nightly)
(Updated Nightly)
(Updated Nightly)
(Updated Nightly)
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Relevant Layer Files
  • AddressesResidentialHouseholdSize.lyr
  • PropertyResidentialHouseholdSize.lyr
  • SubdivisionPopulation.lyr
  • CurrPopEstByCommissionerDistrict.lyr
  • CurrPopEstBySectionModel1.lyr
  • CurrPopEstBySectionModel2.lyr
  • CurrPopEstByVotingPrecinctModel1.lyr
  • CurrPopEstByVotingPrecinctModel2.lyr
  • More layer files coming

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PopulationModel1_PT
  • Logic originally developed by CERI/Steen, but has
    been modified subsequently
  • Each point represents the centroid of a
    Residential Parcel Polygon (NumDwellUnits gt 0).
  • Each point contains the estimated number of
    persons residing at the parcel (in a field named
    Occupants).
  • Occupants is calculated by multiplying the
    NumDwellUnits for the parcel by the Average
    Household Size for the specific CERI ZIP that the
    point resides in. This result is then multiplied
    by 1 the Vacancy Rate for the specific CERI ZIP
    that the point resides in.
  • Average Household Size and Vacancy Rate is not
    only based on CERI Zip, but owner/renter (using
    GenLandUse2).

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PopulationModel2_PT
  • Developed by Yoder to address currency and
    granularity shortcomings of Model 1.
  • Each point represents an individual residence ...
    an address point which resides in a parcel
    polygon whose GenLandUse1 (MARC/OP) is SnglFamRes
    or TwoFamRes or MultFamRes
  • or an address point which resides in a parcel
    polygon whose LandUse value is 811 (Farm/Ranch
    with Improvements) or 100 (Vacant Residential
    Land)
  • Each point contains the estimated number of
    persons residing at the Residence (in a field
    named Occupants).
  • Occupants is equal to Average Household Size for
    the specific Census Block that this point resides
    in multiplied by 1 the Vacancy Rate for the
    specific Census Tract that this point resides in.
  • Average Household Size and Vacancy Rate is not
    only based on Census Block and Tract, but
    owner/renter (using GenLandUse1).
  • The number of Occupants at any given Residence
    may be overriden by virtue of an active record
    in an Occupants Override table
  • Nursing homes, assisted living facilities,
    college dormitories, jails, prisons

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PopulationModel1_PT
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PopulationModel2_PT
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Use of Models with Custom/Variable Geography
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Use of Models with Pre-Defined Geography
Subdivision_PL_vw2
SubdivisionPopulation.lyr
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CurPopEstBySectionModel2.lyr
PLSS_PL_vw1
Use of Models with Pre-Defined Geography
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Relevant Layer Files
  • AddressesResidentialHouseholdSize.lyr
  • PropertyResidentialHouseholdSize.lyr
  • SubdivisionPopulation.lyr
  • CurrPopEstByCommissionerDistrict.lyr
  • CurrPopEstBySectionModel1.lyr
  • CurrPopEstBySectionModel2.lyr
  • CurrPopEstByVotingPrecinctModel1.lyr
  • CurrPopEstByVotingPrecinctModel2.lyr
  • More layer files coming

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Use of Models with Pre-Defined Geography
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PopulationModel3_PT
  • Developed by Porter in context of 2007 BOCC
    Redistricting.
  • Each point represents an individual residential
    building permit (since 2000).
  • Each point contains the estimated number of
    persons residing at the Residence (in a field
    named Occupants).
  • Occupants is calculated in the same manner as
    Population Model 2 AHS for Block (1 Vacancy
    Rate for Tract) owner/renter considered for AHS
    Vacancy Rate.
  • To estimate population in a particular area, must
    add 2000 population to the sum of Occupants in
    the area.
  • Like 1 2, can use with Custom/Variable
    Geography in ArcMap or with Pre-Defined
    Geography.
  • Most closely reflects current Census Bureau
    estimates.

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