Imagine you’re in outer space looking down. Below you are great expanses of green and blue, representing the land and sea. Zoom in and you begin so see the detail in the topography—mountains, rivers, plains. Zoom in further and cities and country sides are visible. Zoom in once more and you see livestock in the fields, cars stopped at traffic lights, and people entering and exiting buildings.
The process of refining MapInfo Pro™ v17 was a little different than past processes. This time Pitney Bowes enlisted numerous beta users who tried and tested MapInfo Pro, working collaboratively to provide feedback through Li360 on what they loved, what they wanted to see more or less of, and how they wanted the solution to work for them.
The result? A new MapInfo Pro that is more user-friendly, faster and powerful than ever before.
The Australian Business Awards 2017 were held recently, with Pitney Bowes taking home a win in the ABA100 Software Innovation category for MapInfo Pro Advanced.
MapInfo Pro Advanced v16 is here and it brings super-fast visualisation and analysis of large and highly detailed grid-based spatial data. While the advanced version of MapInfo Pro v16 allows users to convert and create their own grid/raster datasets using the highly performant interpolation algorithms, users of MapInfo Pro v16 can still take advantage of the new MRR data format by converting existing grids into MRR.
The size and number of raster datasets available to the GIS professional is growing rapidly. For example, the resolution and coverage of remote sensing platforms increases with every new generation of hardware. The physical number of satellites and other sensing platforms in operation is increasing year on year. Storing, managing, visualising and processing this data has become increasingly challenging for data providers and consumers.
Previously we wrote about MapInfo Pro Advanced and specifically focused on the performance of the .MRR file format and the 64bit platform. As always, we’ve been busy experimenting with importing and manipulating data using the various tools and we’ve been surprised at how easy and quick it is to create really good looking maps.
The ease comes essentially from the ability to instantly preview and apply colour, sun-shading and highlighting effects to the grid files we’ve been working with. As the rendering is instantaneous it is really easy to apply the little tweaks that can take maps from the so-so to the wow.
In this post we’re going to run through the process that we undertook to build the map that provides the backdrop to the image at the top of this post.
Spatial analysis is about releasing insights from data and visualising it in a way that can be easily communicated. Before you get to the maps, it’s all about the data.
There are two principle forms which the data used in a Geographic Information System (GIS) can take, vector based and raster based.