Parcel data acquisition and processing

Abstract

In some embodiments, scripts may be used to perform parcel data acquisition, conversion, and clean-up / repair in an automated manner and / or through graphical user interfaces. The scripts may be used, for example, to repair geometries of new parcel data, convert multi-part parcel geometries to single part parcel geometries (explode), eliminate duplicate parcel geometries, append columns, create feature classes, and append feature classes. These scripts may be executed in a predetermined manner to increase efficiency. In some embodiments, different combinations of attributes may be appended to stored parcel data. In some embodiments, a tracking application may be used to track information about sources of data. In some embodiments, a tracking application may be used to track which system users are assigned to specific tasks (e.g., in a data acquisition project).

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]This application is a Continuation application and is based upon and claims the benefit of priority under 35 U.S.C. §120 for U.S. Ser. No. 13 / 012,310, filed Jan. 24, 2011, which is a Continuation of U.S. Ser. No. 11 / 999,319 filed Dec. 4, 2007, the entire contents of each which are incorporated herein by reference.PRIORITY CLAIMS[0002]This application claims benefit of priority of U.S. Provisional Patent Application Ser. No. 60 / 872,831 titled “PARCEL DATA ACQUISITION AND PROCESSING”, filed on Dec. 5, 2006, which is hereby incorporated by reference in its entirety as though fully and completely set forth herein.BACKGROUND[0003]1. Field of the Invention[0004]The present invention relates generally to data and, more specifically, to parcel data processing and acquisition.[0005]2. Description of the Related Art[0006]Several market sectors may have an interest in data for specific parcels. Entities such as banks, insurance companies, real estat...

AI Technical Summary

Benefits of technology

[0007]In some embodiments, scripts may be used to perform data standardization and / or normalization of parcel data from different sources into a common format database or collection of databases. For example, data may be collected from sources (e.g., external) and scripts may be used to convert the data, clean-up / repair data, and track data during the acquisition process. Scripts may perform these functions in an automated manner or may execute with manual assistance from a system user (e.g., through a graphical user interface). The scripts may be used, for example, to repair geometries of new data, convert multi-part parcel geometries to single part parcel geometries (explode), eliminate duplicate parcel geometries, append columns, calculate attribute values, create feature classes, and append feature classes. These scripts may also be executed in a predetermined manner to increase efficiency. For example, the explode script may be executed before the eliminate duplicate geometries script to avoid duplicate geometries that may be created as a result of the explode script. The scripts may be designed for and may be dependent on the source of the parcel data. These scripts may be written in a scripting language and executed in an Environmental Systems Research Institute's (ESRI's) modeling environment. Other environments are also contemplated.

[0010]In some embodiments, a tracking application may be used to track sources of data for the common format database including data that is already in-house, data that can be acquired from a source at low cost, data that can be acquired from a source at high cost, and data that is not available. The tracking application may be used to keep track of the changing status of the data sources (e.g., data sources may become newly available or more expensive). The tracking application may also track the type and state of the data available and / or being added to the common format database (e.g., whether the data from a particular source will require a lot of work to repair, etc.). The tracking application may also track potential sources of attribute data (e.g., for attributes not stored in the system).

Problems solved by technology

Because of the wide range of sources of information for parcels, it may be difficult for companies to locate information for a particular property without consulting several sources of data.

Images