<p>Its an interesting proposal; however, i don't think its just that straightforward. To predict potential shop locations, we will have to build a model in place that gets trained on existing data points (I feel GBM is a good fit for such use cases). I did a bit of research and found this paper has some useful information for your use case - <a href="https://arxiv.org/pdf/1609.02839.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1609.02839.pdf</a>. </p>

<p>Wrt Tensorflow, the JS API is relatively new and i dont think it has all tensorflow goodness yet. However, wrt geospatial analysis using Tensorflow, you might find this link interesting - <a href="https://github.com/Qberto/ML_ObjectDetection_CAFO" rel="nofollow noreferrer">https://github.com/Qberto/ML_ObjectDetection_CAFO</a></p>
Geospatial AI - Predictive models with TensorflowJS
<p>I am currently exploring ML for an application I'm working on and I'd would like to build a geospatial model using tensorflowJS. </p>

<p>As inputs I'd have lat &amp; long for each location, along with other parameters such as type of location or type of business. </p>

<p>I want to build a predictive model that takes those inputs and can predict for example what type of business will eventually open and where they might potentially set shop.</p>

<p>Can anyone point me to the right direction? My main concern is to learn how to build a geospatial model with tensorflow JS with prediction capabilities.</p>

<p>Thanks</p>