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Utility Tools
Map-O-Matic - Automated Map Generator Plug-In
TrendMap - Trade Area Analysis System
Data Indexing - Data Modeling and Profiling
Point2Point - Distance Modeling Application
Disaggregator - Disaggregate or aggregate data variables to different levels of geographic resolution
Site Summerizer - Spatially summarizes your data for reporting within MapInfo Professional
Map-O-Matic is a MapInfo Professional plug-in that facilitates batch map generation using preformatted workspaces. Produce as many similar-themed maps as you need by clicking one button available on the MapInfo Tools toolbar and setting options in a 2-step wizard.
"Map-O-Matic" is a MapBasic application that enables batch processing and production of maps within MapInfo Professional. Batch maps can be produced for any/all individual objects in a MapInfo table or by grouping different objects using a field value. Map titles can be generated from a column in the table Scale bars and north arrows are also available for each map. The maps can be printed or saved as WMF, BMP, JPG or PDF files. Separate MapInfo workspaces can also be saved for each map.
The Challenge
Understanding the geographic distribution of your customers provides a valuable
mechanism for defining trade areas, understanding your target demographic
profile, evaluating site suitability, quantifying trade area overlap, and
delineating market opportunities.
The Problem
Mapping customer locations using simple point displays or standard thematic
maps based on census geography does not provide an accurate or realistic
indication of the characteristics or extent of trade areas.
The Solution
TrendMap allows you to:
- Map accurate trade areas from geocoded customer surveys or POS data based on customer density or revenue distribution
- Map trends with any type of geocoded point data
- Map customer density or revenue concentration
- Identify and quantify the effects of trade area overlap and cannibalization
- Accurately define demographic profiles of your customers
TrendMap works directly with your georeferenced customer data and imports MapInfo .TAB, .DBF, .XLS, .MDB, Lotus(wk*), .mdb, paradox(DB), FoxPro(DBF), .TXT, and ASCII format files.
TrendMap output format options include MapInfo .TAB and .MID/.MIF, ArcView .SHP, and Atlas .BNA format files.
TrendMap uses a proprietary spatial filtering algorithm developed specifically to address trade area definition using customer based point-of-sale data.
TrendMap is available as a standalone MapInfo or ArcGIS compatible program, or as an OCX for application developers and runs under Windows 9x/NT/2000.
The Challenge:
Mapping your target market, identifying pockets of your customer profile,
or evaluating site suitabilty often requires evaluating a number of demographic
variables.
Commonly this evaluation is performed by mapping each of the variables, and manually overlaying the results or by combining the variables mathematically using database management or spreadsheet packages.
The process can be time consuming, and to-date, there was no easy way to iteratively evaluate and rapidly visualize the results of the analysis.
The Solution:
Spatial Insights Data Indexing application was developed in response to
client driven projects that required the evaluation of multiple demographic
variables to identify and map target markets and preferred customer profiles.
With Spatial Insights Data Indexing application for MapInfo, users can independently weight and rank up to 30 variables to create composite index scores in one operation.
Data Indexing allows you to:
- Identify and rank target
- Map preferred customer
- Evaluate site suitability
- Identify market potential
- Mathematically evaluate, combine and index demographic variables
- Assign unique weightings and rankings to create composite index scores
- Evaluate up to 30 variables simultaneously
Data Indexing runs directly within MapInfo Professional.
The Challenge:
Understanding the geographic relationships between store and customer locations
can provide a valuable mechanism for determining store patronage distance
decay factors, for delineating the primary trade area, and for determining
the nth closest customers to a particular store location. Commonly
this evaluation is performed by mapping both the store and customer locations,
and measuring the distance to each customer for a given store. The process
can be time consuming, and to-date, there was no easy way to rapidly evaluate
proximity relationships between two different point data sets.
The Solution:
Spatial Insights Point2Point application was developed in response to client
driven projects that required the determination of geographic relationships
between stores and customer locations.
Using Point2Point, users can rapidly determine which customers fall within a specified distance to a store, or model the distance from the store to all customers. Point2Point also ranks each destination location according to its' distance from the store, and calculates a cumulative percentile to facilitate primary trade area definition and analyses.
Point2Point allows you to:
- Determine primary trade areas
- Identify all customers within a specified radius
- Rank customer locations according to distance from store location
Point2Point works directly with your georeferenced .DBF files, the output is compatible with all desktop mapping and GIS systems and runs under Windows 95/98/NT/2000.
The Challenge:
Geographic information used in mapping applications is often only available
at certain levels of geographic resolution. The process of aggregating or
disaggregating variables from one level to another is required prior to
evaluating correlations in support of trade area analysis and demographic
profiling applications. Traditionally, this is a difficult and time consuming
process.
The Solution:
Spatial Insight's Disaggregater application was developed in response to
customer driven project requirements. The Disaggregater is a MapBasic application,
which runs entirely within MapInfo. It enables data from coarse levels of
geographic resolution, such as county, to be disaggregated, or apportioned,
to areas that have finer geographic resolution, such as block groups. Similarly,
the Disaggregater enables data from finer levels of resolution, such as
block group level demographics, to be aggregated, or recombined, to lower
levels of geographic resolution, such as county or ZIP Code.
The Disaggregater:
- Automatically determines how to aggregate or disaggregate the variables based on their areas and area of intersection
- Provides facilities for selecting the variables to be used in the analysis
- Allows for variable based weighting of the resulting data
Spatial Insights' Disaggregater was designed for MapInfo professionals involved with database development, market research, trade area analysis, and demographic profiling studies.
Data Source Technology, Inc. has developed a software application called Site Summarizer. This application simplifies the process of building new site tables in MapInfo. It also enables the user to easily aggregate appropriate information from a separate table of points containing demographic information. It automatically populates the new site table with these aggregated statistics.
This application will assist the user in creating a new site location table based on:
- Drawing new points
- Drawing new polygons
- Copying an existing polygon
- Merging multiple polygons into a single site polygon
- Creating multiple ring buffers from a table
The application will provide the user (or a system administrator) a dialog box that will enable them to select the methods of aggregation for each field in their demographic or custom data table. This setup process need only be done once (provided there are no changes made to the fields in the basic data table.)
The application will also enable the user to print out the aggregated site information.
