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20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
Continuing Education (CE) Credit
Recertification Credit forms for CE credit can be collected from
the Registration Desk on Thursday.
Housekeeping
The conference proceedings will be
available approximately 8 weeks after
the conference.
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
STATISTICAL MASS APPRAISAL MODELS
FOR LARGE COMMERCIAL BUILDINGS IN
FLORIDA
Presenter
Patrick M. O’Connor, ASA
O’Connor Consulting Inc.
3817 Evesham Drive
Plano, TX 75025
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
PATRICK M. O’CONNOR, ASA
– President & Owner, O’Connor Consulting Inc.
• Leader in computer assisted appraisal for over 30 years
• Originator and co-developer of Location Value Response
Surface a modern method to analyze location influences in
real estate
• Former Chief Assessor for New York City, supervised staff of
580 to reappraise over 900,000 properties
• Published (41 articles) and lectured for New York University,
International Association of Assessing Officers, International
Property Tax Institute, and Lincoln Institute
• Co-author of Property Appraisal and Assessment
Administration (IAAO, 1990)
• Co-author of Visual Valuation (Appraisal Institute, 2010)
• Contributor to The Appraisal of Real Property (Appraisal
Institute, 2013)
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
ORIGNIAL IDEA & PREMISE
• Commercial property tax appeals using dark store
theory, possible major losses to commercial
assessment roll
• Prepare and defense of tax appeals with few sales
per assessment jurisdiction
• Expand geographic area of data and market analysis
to provide statistical support of estimates of market
values
• Provide market analysis for commercial and
industrial properties that have sufficient sales
transactions
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
AVM & CAMA MARKET MODELS WITH
STATISTICAL SUPPORT
• Several statistically-oriented techniques are used in
Automated Valuation Models (AVM) and Computer-
Assisted Mass Appraisal (CAMA)
• Commonly used in CAMA are three regression
techniques
• Linear (Additive)
• Multiplicative (based on linear regression program)
• Non-linear Regression
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
FLORIDA COMMERCIAL MODEL, PART 1
FLORIDA DOR UC Use Group Common Name
3 Apartment Multi-family - 10 units or more
27 Industrial Auto Sales repair related
29 Industrial Wholesale Outlets
41 Industrial Light Manufacturing
42 Industrial Heavy Industrial
44 Industrial Packing Plants
45 Industrial Canneries
46 Industrial Other Food Processing Factories
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
FLORIDA COMMERCIAL MODEL, PART 2
FLORIDA DOR UC Use Group Common Name
17 Office Office Buildings, One Story
18 Office Office Buildings, Multi-story
19 Office Professional Service Buildings
21 Office Restaurants, Cafeterias
23 Office Financial Institutions
11 Retail Stores, One Story
12 Retail Stories, Mixed Use
13 Retail Department Stores
14 Retail Supermarkets
15 Retail Regional Shopping Centers
16 Retail Community Shopping Centers
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
VARIABLES IN APARTMENT, INDUSTRIAL, OFFICE
AND RETAIL MODELS
Total building area
Building square footage group 10 percentage
Age percentage
Improvement quality percentage
Construction Class percentage
Time percentage (by month or quarter)
Individual property location percentage
Florida DOR Use Code percentage (except apartments)
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
VARIABLES IN 2 MODELS OR SINGLE MODEL
Two model variable
Number of buildings on property percentage
One model only
Building-to-land ratio percentage
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
APARTMENT & INDUSTRIAL MODELS
Apartment
(TOT_LVG_AREA*67.313)*Age PRCT*Improvement
Quality PRCT*Construct Class PRCT*Building Land
Ratio PRCT*Location PRCT*Time Month PRCT
Industrial
TOT_LVG_AREA*36.667)*Age PRCT*Improvement
Quality PRCT*Construct Class PRCT*Total Square
Foot GRP10*PRCT*DOR UC PRCT*Location
PRCT*Time Quarter PRCT
*PRCT means percentage
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
OFFICE & RETAIL MODELS
Office
(TOT_LVG_AREA*40.857)*Building Number PRCT *Age
PRCT*Improvement Quality PRCT*Construction Class
PRCT *Total Square Foot Group 10 PRCT*DOR UC
PRCT*Location PRCT*Time Quarter PRCT
Retail
(TOT_LVG_AREA*91.26)*Age PRCT*DOR UC PRCT*Building
Number PRCT*Imp Quality PRCT*Construction Class
PRCT *Total Square Foot Group 10 PRCT*Time Month
PRCT*Location PRCT
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
LOCATION ADJUSTMENT PERCENTAGES
Individual class response surfaces
County residential median values divided by statewide
residential median value
Countywide commercial adjustments by model cluster
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
CATEGORY PERCENTAGES
Most percentages variables before the model
calibration
Some are existing categories
Some are created by dividing continuous variables by
its median
Some are clustered into groups of 10 percentiles, used
reciprocal of sales ratio from prior model
Final coefficient values are percentages
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
FLORIDA APARTMENT LOCATION
Red is higher values, Blue is lower values
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
FLORIDA INDUSTRIAL LOCATION
Red is higher values, Blue is lower values
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
FLORIDA OFFICE LOCATION
Red is higher values, Blue is lower values
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
FLORIDA RETAIL LOCATION
Red is higher values, Blue is lower values
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
QUALITY FINAL PERCENTAGES
IMPROVEMENT QUALITY APARTMENT INDUSTRIAL OFFICE RETAIL
Minimum/Low Cost 0.60 1.26 0.77 0.80
Below Average 0.96 0.94 1.00 1.05
Average 0.98 1.00 1.00 0.97
Above Average 1.04 0.93 1.13 1.25
Excellent 1.02 0.92 1.25 1.40
Superior 1.13 1.00 2.04 1.50
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
TYPICAL NON-LINEAR TERMS
THAT DID NOT WORK
Total buildings size adjustment curve
Age adjustment curve
Land square footage and land size adjustments
Single model concept
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
Model Terms
Total Living Area (Total building size), $ adjustment
All other model terms are multipliers, percentages
Some terms are constrained to sub-level percentages
Many terms are combined into one term such as location
adjustments:
• Location value response surface (one or more);
• Countywide residential median sale price divided by the
statewide residential median sale price; and
• Countywide median reciprocal of sales ratio
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
QUALITY STATISTICS
Coefficient of Dispersion (COD) 5 to 25
Median Ratio 90% to 110%
Price-Related Bias (PRB) -0.05 to 0.05 acceptable
Outside this range is unacceptable -0.10 to 0.10
Price-Related Differential (PRD) 0.98 to 1.03
Weighted Mean 90% to 110%
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
SALES MODELING QUALITY STATISTICS
Sales Median
Weighted
Mean
Price-
Related
Differential
Coefficient
of
Dispersion
Price-
Related
Bias
Apartments 503
1.010 1.002 1.054 .191
-0.012
Industrial 427 1.012 .976 1.094 .235 -0.03
Office 491 .973 .941 1.089 .257 -0.032
Retail 609 1.052 .989 1.166 .314 -0.098
Sales Total 2030
1.01 0.987 1.095 0.256 -0.044
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
CONCLUSIONS, PART 1
Questions about market values of retail properties
evolved into attempt to generate estimates of
market value for many commercial and industrial
properties
In this case, single model did not match quality of four
models (cluster of building groups)
Assumptions must be proven in every model
20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia
CONCLUSIONS, PART 2
Market analysis requires sufficient economic
information (sales prices)
Logical geographic expansion (statewide) is possible
Location may be developed from several geographic
area adjustments
Following real estate appraisal principles is important to
all real modeling
Statistical model of large commercial properties
Statistical model of large commercial properties

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Statistical model of large commercial properties

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  • 2. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia Continuing Education (CE) Credit Recertification Credit forms for CE credit can be collected from the Registration Desk on Thursday. Housekeeping The conference proceedings will be available approximately 8 weeks after the conference.
  • 3. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia STATISTICAL MASS APPRAISAL MODELS FOR LARGE COMMERCIAL BUILDINGS IN FLORIDA Presenter Patrick M. O’Connor, ASA O’Connor Consulting Inc. 3817 Evesham Drive Plano, TX 75025
  • 4. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia PATRICK M. O’CONNOR, ASA – President & Owner, O’Connor Consulting Inc. • Leader in computer assisted appraisal for over 30 years • Originator and co-developer of Location Value Response Surface a modern method to analyze location influences in real estate • Former Chief Assessor for New York City, supervised staff of 580 to reappraise over 900,000 properties • Published (41 articles) and lectured for New York University, International Association of Assessing Officers, International Property Tax Institute, and Lincoln Institute • Co-author of Property Appraisal and Assessment Administration (IAAO, 1990) • Co-author of Visual Valuation (Appraisal Institute, 2010) • Contributor to The Appraisal of Real Property (Appraisal Institute, 2013)
  • 5. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia ORIGNIAL IDEA & PREMISE • Commercial property tax appeals using dark store theory, possible major losses to commercial assessment roll • Prepare and defense of tax appeals with few sales per assessment jurisdiction • Expand geographic area of data and market analysis to provide statistical support of estimates of market values • Provide market analysis for commercial and industrial properties that have sufficient sales transactions
  • 6. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia AVM & CAMA MARKET MODELS WITH STATISTICAL SUPPORT • Several statistically-oriented techniques are used in Automated Valuation Models (AVM) and Computer- Assisted Mass Appraisal (CAMA) • Commonly used in CAMA are three regression techniques • Linear (Additive) • Multiplicative (based on linear regression program) • Non-linear Regression
  • 7. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia FLORIDA COMMERCIAL MODEL, PART 1 FLORIDA DOR UC Use Group Common Name 3 Apartment Multi-family - 10 units or more 27 Industrial Auto Sales repair related 29 Industrial Wholesale Outlets 41 Industrial Light Manufacturing 42 Industrial Heavy Industrial 44 Industrial Packing Plants 45 Industrial Canneries 46 Industrial Other Food Processing Factories
  • 8. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia FLORIDA COMMERCIAL MODEL, PART 2 FLORIDA DOR UC Use Group Common Name 17 Office Office Buildings, One Story 18 Office Office Buildings, Multi-story 19 Office Professional Service Buildings 21 Office Restaurants, Cafeterias 23 Office Financial Institutions 11 Retail Stores, One Story 12 Retail Stories, Mixed Use 13 Retail Department Stores 14 Retail Supermarkets 15 Retail Regional Shopping Centers 16 Retail Community Shopping Centers
  • 9. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia VARIABLES IN APARTMENT, INDUSTRIAL, OFFICE AND RETAIL MODELS Total building area Building square footage group 10 percentage Age percentage Improvement quality percentage Construction Class percentage Time percentage (by month or quarter) Individual property location percentage Florida DOR Use Code percentage (except apartments)
  • 10. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia VARIABLES IN 2 MODELS OR SINGLE MODEL Two model variable Number of buildings on property percentage One model only Building-to-land ratio percentage
  • 11. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia APARTMENT & INDUSTRIAL MODELS Apartment (TOT_LVG_AREA*67.313)*Age PRCT*Improvement Quality PRCT*Construct Class PRCT*Building Land Ratio PRCT*Location PRCT*Time Month PRCT Industrial TOT_LVG_AREA*36.667)*Age PRCT*Improvement Quality PRCT*Construct Class PRCT*Total Square Foot GRP10*PRCT*DOR UC PRCT*Location PRCT*Time Quarter PRCT *PRCT means percentage
  • 12. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia OFFICE & RETAIL MODELS Office (TOT_LVG_AREA*40.857)*Building Number PRCT *Age PRCT*Improvement Quality PRCT*Construction Class PRCT *Total Square Foot Group 10 PRCT*DOR UC PRCT*Location PRCT*Time Quarter PRCT Retail (TOT_LVG_AREA*91.26)*Age PRCT*DOR UC PRCT*Building Number PRCT*Imp Quality PRCT*Construction Class PRCT *Total Square Foot Group 10 PRCT*Time Month PRCT*Location PRCT
  • 13. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia LOCATION ADJUSTMENT PERCENTAGES Individual class response surfaces County residential median values divided by statewide residential median value Countywide commercial adjustments by model cluster
  • 14. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia CATEGORY PERCENTAGES Most percentages variables before the model calibration Some are existing categories Some are created by dividing continuous variables by its median Some are clustered into groups of 10 percentiles, used reciprocal of sales ratio from prior model Final coefficient values are percentages
  • 15. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia FLORIDA APARTMENT LOCATION Red is higher values, Blue is lower values
  • 16. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia FLORIDA INDUSTRIAL LOCATION Red is higher values, Blue is lower values
  • 17. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia FLORIDA OFFICE LOCATION Red is higher values, Blue is lower values
  • 18. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia FLORIDA RETAIL LOCATION Red is higher values, Blue is lower values
  • 19. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia QUALITY FINAL PERCENTAGES IMPROVEMENT QUALITY APARTMENT INDUSTRIAL OFFICE RETAIL Minimum/Low Cost 0.60 1.26 0.77 0.80 Below Average 0.96 0.94 1.00 1.05 Average 0.98 1.00 1.00 0.97 Above Average 1.04 0.93 1.13 1.25 Excellent 1.02 0.92 1.25 1.40 Superior 1.13 1.00 2.04 1.50
  • 20. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia TYPICAL NON-LINEAR TERMS THAT DID NOT WORK Total buildings size adjustment curve Age adjustment curve Land square footage and land size adjustments Single model concept
  • 21. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia Model Terms Total Living Area (Total building size), $ adjustment All other model terms are multipliers, percentages Some terms are constrained to sub-level percentages Many terms are combined into one term such as location adjustments: • Location value response surface (one or more); • Countywide residential median sale price divided by the statewide residential median sale price; and • Countywide median reciprocal of sales ratio
  • 22. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia QUALITY STATISTICS Coefficient of Dispersion (COD) 5 to 25 Median Ratio 90% to 110% Price-Related Bias (PRB) -0.05 to 0.05 acceptable Outside this range is unacceptable -0.10 to 0.10 Price-Related Differential (PRD) 0.98 to 1.03 Weighted Mean 90% to 110%
  • 23. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia SALES MODELING QUALITY STATISTICS Sales Median Weighted Mean Price- Related Differential Coefficient of Dispersion Price- Related Bias Apartments 503 1.010 1.002 1.054 .191 -0.012 Industrial 427 1.012 .976 1.094 .235 -0.03 Office 491 .973 .941 1.089 .257 -0.032 Retail 609 1.052 .989 1.166 .314 -0.098 Sales Total 2030 1.01 0.987 1.095 0.256 -0.044
  • 24. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia CONCLUSIONS, PART 1 Questions about market values of retail properties evolved into attempt to generate estimates of market value for many commercial and industrial properties In this case, single model did not match quality of four models (cluster of building groups) Assumptions must be proven in every model
  • 25. 20th Annual GIS/CAMA Technologies Conference • February 22−25, 2016 • Savannah, Georgia CONCLUSIONS, PART 2 Market analysis requires sufficient economic information (sales prices) Logical geographic expansion (statewide) is possible Location may be developed from several geographic area adjustments Following real estate appraisal principles is important to all real modeling