Parcel Data for Research and Policy

Parcel data, or information about individual plots of land, may be used to examine a broad range of social and environmental issues. While analog parcel information has long been available, the move towards digital georeferenced data offers a more readily available means of using detailed structural and land use information. Parcels map onto useful units of analysis such as individuals and households, and serve as the foci of policy institutions tasked with functions such as taxation, schooling, zoning, or public health. The promise of digital parcel data is offset by challenges related to format, availability, maintenance, quality, augmentation, and confidentiality. We examine the use of digital parcel data in research and policy with special reference to land use, public health, education, and environmental applications. We also make recommendations for improving and using parcel datasets.

[1]  Ken Sexton,et al.  Modifiable Areal Unit Problem (MAUP) , 2008 .

[2]  Barbara Entwisle,et al.  Putting people into place , 2007, Demography.

[3]  Anne Vernez Moudon,et al.  Attributes of Environments Supporting Walking , 2007, American journal of health promotion : AJHP.

[4]  E. Berke,et al.  Protective Association Between Neighborhood Walkability and Depression in Older Men , 2007, Journal of the American Geriatrics Society.

[5]  E. Girvetz,et al.  Physical and financial barriers to implementing a nature reserve network in the Sierra Nevada, California, USA , 2007 .

[6]  P. Zandbergen,et al.  Influence of geocoding quality on environmental exposure assessment of children living near high traffic roads , 2007, BMC public health.

[7]  Alon Bassok,et al.  The Exposure of Disadvantaged Populations in Freeway Air-Pollution Sheds: A Case Study of the Seattle and Portland Regions , 2007 .

[8]  Leonard H Epstein,et al.  The neighborhood and home environments: Disparate relationships with physical activity and sedentary behaviors in youth , 2007, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[9]  T. Koepsell,et al.  Association of the built environment with physical activity and obesity in older persons. , 2007, American journal of public health.

[10]  L. Epstein,et al.  Association of access to parks and recreational facilities with the physical activity of young children. , 2006, Preventive medicine.

[11]  A. Troy,et al.  Mapping ecosystem services: Practical challenges and opportunities in linking GIS and value transfer , 2006 .

[12]  Andrew P. Hull,et al.  Changes in Blood Lead Levels Associated with Use of Chloramines in Water Treatment Systems , 2006, Environmental health perspectives.

[13]  Francis Harvey,et al.  Local‐government data sharing: Evaluating the foundations of spatial data infrastructures , 2006, Int. J. Geogr. Inf. Sci..

[14]  Colin Vance,et al.  Analyzing spatial hierarchies in remotely sensed data: Insights from a multilevel model of tropical deforestation , 2006 .

[15]  P. Georgiadou,et al.  Spatial data infrastructure SDI and e-governance : a quest for appropriate evaluation approaches , 2006 .

[16]  D. Phaneuf,et al.  Estimating the effects of urban residential development on water quality using microdata. , 2006, Journal of environmental management.

[17]  P. Berck,et al.  Modeling Suburban and Rural-Residential Development Beyond the Urban Fringe , 2006, Land Economics.

[18]  Anne Vernez Moudon,et al.  Built environment and behavior: spatial sampling using parcel data. , 2006, Annals of epidemiology.

[19]  B. Stone,et al.  Urban Form and Watershed Management: How Zoning Influences Residential Stormwater Volumes , 2006 .

[20]  Guangyu Li,et al.  The future of infill housing in California: Opportunities, potential, and feasibility , 2006 .

[21]  Robert I. McDonald,et al.  Shades of Green: Measuring the Value of Urban Forests in the Housing Market , 2005 .

[22]  John M. Polimeni,et al.  Simulating Agricultural Conversion to Residential use in the Hudson River Valley: Scenario Analyses and Case Studies , 2005 .

[23]  Tenley M. Conway,et al.  Current and Future Patterns of Land-Use Change in the Coastal Zone of New Jersey , 2005 .

[24]  Leah K VanWey,et al.  Confidentiality and spatially explicit data: Concerns and challenges , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[25]  G. Rogers,et al.  Long-term impact of development on a watershed: early indicators of future problems , 2005 .

[26]  H. Andrieu,et al.  Development of a distributed hydrological model based on urban databanks--production processes of URBS. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.

[27]  Randall Johnson,et al.  Minnesota MetroGIS Geospatial Data Collaborative Minneapolis-St. Paul Metropolitan Area (2002-Enterprise System) , 2005 .

[28]  P. Diggle Applied Spatial Statistics for Public Health Data , 2005 .

[29]  A. Cheadle,et al.  Cycling and the Built Environment, a US Perspective , 2005 .

[30]  R. Ready,et al.  The Amenity and Disamenity Impacts of Agriculture: Estimates from a Hedonic Pricing Model , 2005 .

[31]  Carmen E. Carrión-Flores,et al.  Determinants of Residential Land‐Use Conversion and Sprawl at the Rural‐Urban Fringe , 2004 .

[32]  Daniel Steudler,et al.  Evaluation of land administration systems , 2004 .

[33]  B. Stone Paving over paradise: how land use regulations promote residential imperviousness , 2004 .

[34]  L. Waller,et al.  Applied Spatial Statistics for Public Health Data: Waller/Applied Spatial Statistics , 2004 .

[35]  W. Huxhold,et al.  ArcGIS and the Digital City: A Hands-On Approach for Local Government , 2004 .

[36]  R. Adams,et al.  Amenities in an Urban Equilibrium Model: Residential Development in Portland, Oregon , 2004, Land Economics.

[37]  Daniel G. Brown,et al.  Land use and forest cover on private parcels in the Upper Midwest USA, 1970 to 1990 , 2003, Landscape Ecology.

[38]  K. Tajima New Estimates of the Demand for Urban Green Space: Implications for Valuing the Environmental Benefits of Boston’s Big Dig Project , 2003 .

[39]  Beate Ritz,et al.  Historical pesticide exposure in California using pesticide use reports and land-use surveys: an assessment of misclassification error and bias. , 2003, Environmental health perspectives.

[40]  T. Carlson,et al.  Satellite and ground-based microclimate and hydrologic analyses coupled with a regional urban growth model , 2003 .

[41]  B. Klinkenberg The true cost of spatial data in Canada , 2003 .

[42]  Sanchita Sengupta,et al.  The value of remoteness: a hedonic estimation of ranchette prices. , 2003 .

[43]  P. Longley Geographical Information Systems: developments in socio-economic data infrastructures , 2003 .

[44]  Elena G. Irwin,et al.  The Effects of Open Space on Residential Property Values , 2002, Land Economics.

[45]  Jennifer L. Dungan,et al.  A balanced view of scale in spatial statistical analysis , 2002 .

[46]  John I. Carruthers,et al.  The Impacts of State Growth Management Programmes: A Comparative Analysis , 2002 .

[47]  Marie Lynn Miranda,et al.  Mapping for prevention: GIS models for directing childhood lead poisoning prevention programs. , 2002, Environmental health perspectives.

[48]  Michael Jerrett,et al.  Conceptual and practical issues in the detection of local disease clusters: a study of mortality in Hamilton, Ontario , 2002 .

[49]  S. Dearwent,et al.  Locational uncertainty in georeferencing public health datasets , 2001, Journal of Exposure Analysis and Environmental Epidemiology.

[50]  Noelwah R. Netusil,et al.  THE EFFECT OF OPEN SPACES ON A HOME'S SALE PRICE , 2001 .

[51]  David M. Theobald,et al.  Land‐Use Dynamics Beyond the American Urban Fringe* , 2001 .

[52]  E. Irwin,et al.  Theory, data, methods: developing spatially explicit economic models of land use change , 2001 .

[53]  A. Haque GIS, Public Service, and the Issue of Democratic Governance , 2001 .

[54]  L. L. Bennett,et al.  Valuing Open Space and Land-Use Patterns in Urban Watersheds , 2001 .

[55]  P. Atkinson,et al.  Spatial Scale Problems and Geostatistical Solutions: A Review , 2000 .

[56]  Scott Orford,et al.  Modelling Spatial Structures in Local Housing Market Dynamics: A Multilevel Perspective , 2000 .

[57]  Noelwah R. Netusil,et al.  The impact of open spaces on property values in Portland, Oregon , 2000 .

[58]  Paul A. Longley,et al.  Spatial Analysis in the New Millennium , 2000 .

[59]  Leland Gerson Neuberg,et al.  A solution to the ecological inference problem: Reconstructing individual behavior from aggregate data , 1999 .

[60]  I. Williamson,et al.  The evolving role of land administration in support of sustainable development , 1999 .

[61]  Werner Kuhn,et al.  Semantic interoperability: A central issue for sharing geographic information , 1999 .

[62]  P. Stern,et al.  People and pixels : linking remote sensing and social science , 1999 .

[63]  G. Rushton,et al.  Geographically masking health data to preserve confidentiality. , 1999, Statistics in medicine.

[64]  N. Bockstael,et al.  Spatial landscape indices in a hedonic framework: an ecological economics analysis using GIS , 1997 .

[65]  M. Curry The Digital Individual and the Private Realm , 1997 .

[66]  Kelvyn Jones,et al.  Modelling Complexity: Analysing Between-Individual and Between-Place Variation—A Multilevel Tutorial , 1997 .

[67]  Donald R. Haurin,et al.  School Quality and Real House Prices: Inter- and Intrametropolitan Effects , 1996 .

[68]  A. Al-Garni Urban photogrammetric data base for multi-purpose cadastral-based information systems: the Riyadh city case , 1996 .

[69]  Jeffrey Johnson Case studies of dissemination policy in local government GIS agencies , 1995 .

[70]  Donna J. Peuquet,et al.  An examination of techniques for reformatting digital cartographic data. Part 2: the vector-to raster process. , 1981 .

[71]  Donna J. Peuquet,et al.  An Examination Of Techniques For Reformatting Digital Cartographic Data / Part 2: The Vector-To-Raster Process , 1981 .

[72]  W. S. Robinson,et al.  Ecological correlations and the behavior of individuals. , 1950, International journal of epidemiology.

[73]  Stan Openshaw,et al.  Modifiable Areal Unit Problem , 2008, Encyclopedia of GIS.

[74]  Michael P Strager,et al.  Aggregating high-priority landscape areas to the parcel level: an easement implementation tool. , 2007, Journal of environmental management.

[75]  Daniel Steudler,et al.  Assessing the worldwide comparison of cadastral systems , 2007 .

[76]  Byoung-Suk Kweon,et al.  Retail land use, neighborhood satisfaction and the urban forest : an investigation into the moderating and mediating effects of trees and shrubs , 2006 .

[77]  Chris Cunningham,et al.  House price uncertainty, timing of development, and vacant land prices: Evidence for real options in Seattle , 2006 .

[78]  E. Irwin,et al.  Endogenous Spatial Externalities: Empirical Evidence and Implications for the Evolution of Exurban Residential Land Use Patterns , 2004 .

[79]  V. Gewin Mapping opportunities , 2004, Nature.

[80]  Nancy Von Meyer,et al.  GIS and Land Records: The Parcel Data Model , 2004 .

[81]  Donald G. Janelle,et al.  WorldMinds: Geographical Perspectives on 100 Problems , 2004 .

[82]  Stephen J. Walsh,et al.  People and the Environment , 2004 .

[83]  Sergio J. Rey,et al.  Advances in Spatial Econometrics: Methodology, Tools and Applications , 2004 .

[84]  Raul P. Lejano,et al.  Mapping the industrial archeology of Boston , 2004 .

[85]  Jefferson Fox,et al.  People and the environment : approaches for linking household and community surveys to remote sensing and GIS , 2003 .

[86]  W. Craig,et al.  A Retrospective Look at the Need for a Multipurpose Cadastre , 2003 .

[87]  D. Stage,et al.  An Assessment of Parcel Data in the United States , 2003 .

[88]  Michael Duncan,et al.  Transit’s Value-Added Effects: Light and Commuter Rail Services and Commercial Land Values , 2002 .

[89]  Peter M. Atkinson,et al.  Modelling scale in geographical information science , 2001 .

[90]  R. Mugerauer Qualitative GIS: To Mediate, Not Dominate , 2000 .

[91]  D. Flewelling,et al.  White Knights of Spatial Data Infrastructure : The Role and Motivation of Key Individuals , 1999 .

[92]  Daniel J. Evans A behavioral simulation model for metropolitan policy analysis and planning: residential location and housing market components of UrbanSim , 1999 .

[93]  Wendy K. Tam Cho,et al.  Iff the Assumption Fits…: A Comment on the King Ecological Inference Solution , 1998 .

[94]  David W. Rhind,et al.  Economic, legal, and public policy issues influencing the creation, accessibility, and use of GIS databases , 1996, Trans. GIS.

[95]  Cheryl R. Doss,et al.  The Influence of Wetland Type and Wetland Proximity on Residential Property Values , 1996 .

[96]  Douglas D. Nebert,et al.  Interpreting the ASTM “Content Standard for Digital Geospatial Metadata” , 1996 .

[97]  William E. Huxhold,et al.  An introduction to urban geographic information systems , 1991 .

[98]  Donna J. Peuquet,et al.  An examination of techniques for reformatting digital cartographic data; Part I, The raster-to-vector process; Part II, The vector-to-raster process , 1980 .

[99]  W. L. Hanna Opinions of the Attorney General of California , 1944 .