VDAT Geocoder for RcCollect, DSS and CAS-CW processing. Version October 7, 2018

This web site is designed to assist Red Cross VDAT personnel to clean up and geocode addresses. While it has other uses, its primary focus is processing data from RcCollect (DDA field collector app), SS (Street Sheets) and data dumps from the CAS-CW database. Report problems or enhancement requests to Mike.Schmidt@Redcros.org NOTE mispelled to prevent crawlers from getting e-mail address.
Instructions:
NOTICE: This site requires a Google Geocoding API. By entering an api key in this web page, the users accepts full responsibility for any costs or damages incurred.

Using a Google API key:
Google allows 40K addresses to be processed per month for free. After that, it costs $5/1000 addresses.
View Usage. Get a Google API key.

Google Api Key:

File to be processed

Select an output format. Details on these formats are provided later down the page.
Fixed Format VDAT DDA
Free Format General
Free Format Case Work. Attribute "cas case id" is always first.

Distance in Feet to generate the comment (dist= ? feet) in the notes field regarding the distance between accurately Geocoded Address locations and Survey Point. This should be set to a distance, that if exceeded, would require scrutiny by a reviewer.







Description of output fields for VDAT

The output format for this script is optimized for use by Red Cross for VDAT (Virtual Damage Assessment Team) data processing activity. The script has three output formats including VDAT Fixed format, Free Format Casework, and Free Format General. Three types of address are supported by this script and are described below. The following output attributes are described in more detail below.

How to process the output from this script

This Script is optimized to assist VDAT personal in identifying questionable addresses. In an ideal world, this would not be necessary. However, since it is not, Reviewers have to find and fix incorrect or spelled addresses. The quality of the address is determined by a Geocoder. If the address is good, it updates address attributes and the {y,x} == {Lat,Long} information. The following lists some things to look for while reviewing the data.



You can run the script on the modified output as often as you need to

When you are done, you can run the script again on the modified output. By doing this, it allows you to only change address information and not have to change accuracy, y, x, county and zip fields. However, be aware of these behaviors.