MapLarge specializes in high performance interactives that scale to millions of users.
Our platform is entirely dynamic. You can make changes to the data or styling and the maps and interactives will instanty update
Most online mapping systems have difficulty mapping more than a few thousand records of data. Our system was built from the ground up to handle incredibly large datasets. We have helped clients analyze and map Terabytes of data.
We can help you analyize your data on a level that matters to your business. For example, we can take your data and create a zip code map that is thematically shaded based on the values of each column.
We have a number of geoprocessing functions such as a nearest neighbor analysis and can custom create any function to help you draw decisions from your data.
A number of performance studies have shown that user engagement falls through the floor when webpages take too long to load. We felt that most mapping platforms on the market were too slow and caused user abandonment. (See our article on mapping mistakes) We purposely built the MapLarge API from the ground up to optimize every millisecond and deliver the content to the user as quickly as possible.
Read our Performance Whitepaper on how we've structured our API to deliver maps in a fast, lightweight manner. Some of our maps only add 500ms onto the base Google Maps API load time. Since all of our maps have dynamic querying capability, you can expect to see fast update times even if the system is analyzing and rendering Gigabytes of data.
With the MapLarge API, there is no need to preprocess your data to create views for the map. You can dynamically query against any field or combination of fields in your dataset.
Since many of our clients have millions of records to analyze and map, we created a geocoder that can geocode millions of addresses in just a few minutes. You can test the speed with our Online Batch Geocoder.
If you want to create thematic maps of your data, chances are there is an ESRI Shapefile of the geography you want to represent.
Maps using Shapefile data may be viewed at any zoom level.
1. Zip Codes
2. Counties & States
3. Census Tracts
4. Census Block Groups
5. Congressional Districts
6. Precincts
7. Health Care: Strategic Health Authorities (SHA) and Primary Care Trusts (PCT)
8. Grids
Many Clients like to be able to analyze their point and sales data on top of a demographic layer to determine if demographics drives value. Our medical office example shows how you can query against our database of doctor office locations and display them on top of a demographic map.
MapLarge offers a unique capability to visualize any size Shapefile and thematic map from a national level.
MapLarge can help you map data that is associated with a geography. For example, sales by zip code.
Additionally, if you have a large database of point data such as addresses that have been geocoded, we can create thematic maps of this data. Here is an example of point data that is viewable by census block group, zip codes and counties.
We support the following providers, and other maps including WMS layers upon request:
The MapLarge API is designed to work with a CSV file that can be output from any database or enterprise data warehouse. Once the CSV file is loaded, designers and programmers can manipulate all aspects of the map from a simple JavaScript API.
Using The MapLarge API, designers and programmers can modify the color scheme, icons, border shading, text, on-hover and on-click balloons, legend, visualization by zoom level and data feeds.