Geospatial Jobs

The input is a series of GPX files that represent a persons activity (running, hiking, cycling etc). The output is to produce a high quality heatmap with an openstreet map or google map as the background (see attached). This project will need to be written in Python or Typescript and importable as a library into a service. It will need to: * normalize and smooth paths * represent areas frequently visited in different colours * allow clipping within a bounding area * output a high quality image Can provide sample GPX files and discuss output quality requirements.

We need to extract geospatial information about the occurrence of natural disasters and merge this with regional GDP data, in Python or R. For that, we would need a function which is able to crop country borders from shapefiles in Python or R. We need to work with datasets such as the DFO, EFAS, GLOfas, EDO, GDO and EFFIS and we need a function that extracts information about a large number of countries in an efficient way (for instance, automatically deleting the files after the download to avoid using too much space). For the country borders we want to use the GADM 3.6 database (see ). The extracted geospatial data should then be merged to a regional macroeconomic dataset at the most granular level. *** No scraping, no blockchain, no software development needed***

I need to export FME ETL model to a standalone Python script. The model works with AUTODESK CONSTRUCTION CLOUD

Its a social project which is to be inaugurated by central government minister in nagpur, this project we r going to plant trees and nominate them as a persons name who's going to take care of want someone who can upload the data of each of these plants on google maps or servers so that its location,date and time, latitude, longitude, plant id, etc details will be uploaded on servers... for an example the photo is uploaded below