Simplification of Parcel Mapping Process and its Application: Geographical Information System based...

Simplification of Parcel Mapping Process and its

Application: Geographical Information System based

Approach

Dr. K.Ezhil Vendhan

©2010 CoreLogic, Inc. Private & Confidential 2

Launched from the First American Corporation, CoreLogic is a

leading provider of consumer, financial and property information,

Analytics and services to business and government

We have more than 1 million users who rely on our data we have

most comprehensive repository of public, contributory and

proprietary data in the US like mortgage information , parcel and

geospatial etc.

We are working with over 40,000 clients in the public and private

sectors

WHO WE ARE


Introduction

• A parcel map is perhaps the most convenient resource available to

the public to determine the location and Parcel Identification Number

of a property.

• Town officials like Assessors, Planners, Engineers, and others use

parcel maps on a daily basis. So it is very important that parcel maps

should show the current and updated information.

• History shows that most GIS implementation have some difficulties

with parcel mapping process.

• In this perspective CoreLogic internally developed many customized

GIS tools and various methods in AutoCAD Map and ArcGIS

environment for parcel mapping, these methods plays vital role in

creation of new parcel map and updating large quantity of existing

parcel map.


Basically these methods can be classified into three broad

categories,

I. Pre-Processing

II. Production Process

III. Final – Processing

Aim

The aim of this study is to analyze various methods of parcel

mapping and simplification of the process to improve productivity

and data accuracy.

Processes


1. Defined Folder Structure

2. Domain Controls in Data base

3. Pre- Defined columns

4. Clipping the county parcel based on available resources

5. Multiple file Re-projection tool

6. Add XY in Single field

7. Clipping stack and Non Stack Polygons

Pre-Processing Methods


Pre- Processing Methods

Folder Creation Tool

VB Script for Tool Creation

1. Defined Folder Structure


Create Default Fields


Create Domain Control

Domain Control


Clip Stack and Non Stack Line and PIN

Clipped Polygon

Clipped Stack Parcel

Clipped Lines and PINs

Clipping Stack and Non Stack Polygons


Multiple File Geo Referencing

This tool will be useful to Geo-Reference Multiple File


Create XY Field in Single Field

The XY creates in same field;

it will be useful to find how may parcel have aligned


Clipped Polygon

Clipped Stack Parcel

Clipped Lines and PINs

Clipping Stack and Non Stack Polygons


Parcel mapping Production process are classified under five major

categories.

1.CAD conversion

2.Building parcel Raster to Vector (COGO and Georeference)

3.Maintenance Raster to Vector

4.Maintenance Spatial Alignment Process

5.Maintenance Existing data editing

Production Process


CAD Conversion Flow Chart


COGO Method


Geo-Referencing Method


Maintenance Parcel – Raster to vector


Maintenance Spatial Alignment


Existing Data Editing

Maintain Existing


In Final process following methods are implemented for data accuracy.

1.Arc Google Synchronize tool

2.Multiple Stack Creation tool

3.Edge Matching

4.Multi Pin Check using Spatial Unique ID Creation

5.Spatial Join/ Forward Link

6.Non- spatial / Reverse Link

7.Summarize Check

8.Color Code

Final Process


Multi Stack Polygon Creation

Tool

Stack Layer

Data Base


OID Linking - Multiple Points Identification

Line segment missing - Multiple Points

Multiple points & Null polygons

Polygon is created using the final Line and Point features. Spatial Join (OID linking / Third party tool) is done to check multiple point feature present in a closed line. All NULL and Multiple Points are corrected.

Spatial Join is done to check whether all point features is converted to Polygon.


Database Forward DB check / Spatial Join

Common fields from the Spatial point feature and the Taxroll data are joined Unjoined DB are exported and verified the errors and it is rectified

Spatial Data Tax Roll data


Non Spatial \Reverse DB Check

Common fields from the Taxroll data and Spatial point feature are joined

Unjoined DB are exported and verified the errors for rectification

This Method is useful for identified Missing parcels and Stack parcel

Spatial DataTax Roll Data


By summarizing APN and Map column an output of APN count is obtained for both Tax roll data and Map Data. The Map which has difference in APN count is checked again for errors.

Summarize Check


Color code (Symbology)

District, Map and BLK are color coded and checked by panning, since dbase check will not clear all the errors


• CoreLogic captured 124 million parcels for 2,200 counties and

townships Nationwide.

• CoreLogic ParcelPoint ® product enables users to access the

highest level of positional accuracy for developing location-based

solutions.

• Each Parcel’s Unique Identifier allows it to be linked to other forms

of information, including Valuations, Service Areas, Environmental

Factors, Demographics, and Parcel Data also enables sophisticated

spatial analysis such as proximity, overlay and buffer zone

operations.

Parcel Mapping Applications in CoreLogic


• Integrating ParcelPoint product with flood risk zone is to provide

more flexible and accurate decisions to the decision makers.

• Maintaining taxing jurisdiction data base for determining the

valuation and classification for taxation of property.

• Parcel boundary data helps the homebuyer in identifying the best

fit for new commercial development or matching their desirable

location.

•Developing accurate models for locating fire response area could

be the difference between life and death in emergency situation.

• Parcel data provides an efficient platform for utility companies like

Power Management, Electricity, Gas, Telecommunications etc.

Parcel boundary data is applicable to Insurance Applications


• Wireless communications companies which are using CoreLogic

data as the underlying map for mobile advertising.

• Government agencies like United States Department of Agriculture

(USDA) and FBI are using CoreLogic data for understanding

Agriculture Trends and Crime Patterns.

• Insurance company State Farm is using parcel and natural hazard

data to better determine insurance rates.

• These different industries have in common need to understand

exactly where a property is on earth and the need to link the

appropriate data to that location.

Various industries relay on CoreLogic for accurate Geospatial Information


Thank You

Simplification of Parcel Mapping Process and its Application: Geographical Information System based...

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