The first law of Geography according to Waldo Tobler, published in 1970, states “everything is related to everything else, but near things are more related than distant things”. This is the foundation of spatial correlation and interpolation. When we created LandHawk, we wanted to create an intelligent system and after using some of the other tools on the market realised that they had barely touched the surface of geographies first law.
On our journey towards Artificial Intelligence (AI) we started by incorporating cost weighted analysis – “What is that?” you may ask, in essence it harks back to that first law, things with more importance are more prevalent, then by layering this information it can form an intelligent score (or cost in this terminology).
Within LandHawk we score the data against how suitable a site is based on planning permissions and regulations set out by Government. This is done with an easy to read traffic light system which you can then interrogate to identify issues or adjust to maximise the most beneficial result.
- Does the site need to be near a school?
- Does the site need to be near a Bus stop?
- Does the site need to within or near to a settlement?
- Does the site need to be outside of environmental constraints, like flood zones?
We have you covered, you can even specify what the maximum distance you want to be from particular features.
Although these are tools normally used by data scientists, we have enabled them through easy to use interfaces. We’ve created a tool that takes the complexity out of searching for the best site for land development so that you can save time and focus on the more important parts of the job. If you think the search intelligence needs a tweak based on your criteria, there are customisation options so you can dive in and adjust it to the criteria that is important to you with over a hundred different data.
The area you are analysing may be stored as a snapshot or ‘bookmarked’ as it is called in Geographic Information Systems (GIS) so that you can click a button to go back to that search and analysis with all the layers you had set up at that time. If you roll the mouse over the results you will get instant feedback on what issues gave it that score, then, if you want to take that result forward, you can save it as a ‘Appraisal Card’ to then interrogate further, print out, measure or even export a PDF report on it with key information about it on.
Our mission is to simplify the experience of searching for sites and make it easier for managers to get consistency and time saving across their teams as well as allowing specialists to adjust their specialisms to get the best results for them and I believe we are very much working towards that goal.