Parcel Data Aggregation
Definition
Parcel data aggregation refers to the process of compiling and combining parcel-level geographic information system (GIS) data into a consolidated dataset. Parcels are defined as divisions of land or plots, often recognized by local governments for taxation, development, and land-use planning purposes. This aggregated data is used to manage and analyze land use, ownership, and geographical information at various administrative levels, enhancing decision-making processes for municipalities, businesses, and property developers.
What is Parcel Data Aggregation?
Parcel data aggregation involves collecting various sets of data related to land parcels from multiple sources, integrating them into a uniform, comprehensive dataset. This process often entails harmonizing disparate data formats and originations to create a singular, easily navigable dataset. The aggregated parcel data usually includes information related to property boundaries, ownership details, zoning classifications, land values, and other pertinent attributes relevant to land management and planning.
The rationale behind parcel data aggregation is to produce a unified perspective of land use and property ownership that assists in urban planning, land development, and public policy formulation. By collating data from multiple jurisdictions and standardizing it, users gain improved access to detailed property data, enabling comprehensive spatial analyses and informed decision-making.
