Summary & Purpose

This is a polygon data set representing public land use (PLU) development parcels within areas of special interest in Boise, Idaho and the surrounding region.

Date of Publication or Submission



Funding Citation

This publication was made possible by the NSF Idaho EPSCoR Program and by the National Science Foundation under award number IIA-1301792.

Data Source Credits

Derived from parcel maps publicly available from Assessors Offices of Ada and Canyon Counties Idaho.

Single Dataset or Series?


Data Format

*.shp, *.zip

Data Attributes

This dataset contains cadastral parcels in the form of a GIS layer populated with multiple attributes including land use type, property value, sales description, built date, legal description and ownership. We reclassified the parcels into seven general land use categories: single-family residential (SFR), multi-family residential (MFR), rural residential (RR) commercial, industrial, institutional and open space. The SFR category in this study includes detached single family dwellings of all residential densities regardless of whether they are exurban (rural), suburban or urban residential. MFR, on the other hand, includes all attached dwellings including apartments, condos and townhouses. Since the major focus of the study was to explore general patterns of urban patches, we further reclassified the parcels into developed (urban) and undeveloped (non-urban) classes. We defined a parcel as developed if it has already been assigned a property tax value, has a built structure, and cannot be further developed. Each of the shapefiles here have only parcels with the geometry of polygon. Each parcel is categorized into one of the seven intra-urban land use categories. It was done by reclassifying the 20 plus categories mentioned by local agencies in their original dataset. The only difference between this dataset and the dataset mentioned in No 1 is that it has parcels as the features while the other has patches as features, created by dissolving adjacent developed parcels. Spatial Reference: NAD 1983 Transverse Mercator; Projection: Transverse Mercator Attribute Definitions: LU04_1/LU04_12 = Land use type (intra-urban), Agg_YB_1 = Built year (i.e. the year when property was developed), Units = No. of household units in each parcel. However, the only modified field is the Land use type. The remaining are same as the data obtained originally. The abbreviations: SFR = single family residential, MFR = multi-family residential, COM = commercial, IND = industrial, INST = institutional, OPEN = open space, RR = rural residential.

Map Area

44.047952N, 42.975526S

Map Area

-115.855445E, -117.093888W

Map Area Coordinate System

GCS_North_American_1983, Projected to NAD_1983_Transverse_Mercator

Time Period

1938, 1951, 1962, 1972, 1982, 1994, 2004, 2014

Privacy and Confidentiality Statement

We are explicitly compliant with federal and state laws surrounding data privacy including the protection of personal financial information through the Gramm-Leach-Bliley Act, personal medical information through HIPAA, HITECH and other regulations. All human subject data (e.g., surveys) has been collected and managed only by personnel with adequate human subject protection certification.

Use Restrictions

Data will be provided to all who agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. By downloading these data and using them to produce further analysis and/or products, users agree to appropriately acknowledge the National Science Foundation (NSF), Idaho EPSCoR and the individual investigators responsible for the data set. Use constraints: Acceptable uses of data provided by Idaho EPSCoR include any academic, research, educational, governmental, recreational, or other not-for-profit activities. Any use of data provided by the Idaho EPSCoR must acknowledge Idaho EPSCoR and the funding source(s) that contributed to the collection of the data. Users are expected to inform the Idaho EPSCoR Office and the PI(s) responsible for the data of any work or publications based on data provided.


Article Location