Co-create essential geodata webservices to accelerate your own business
Constant external R&D based on the input of the StraTopo data platform community and the further developments of StraTopo
Access to various reliable geodata webservices available via API with support
100% funded
 
Input:
  • Latitude
  • Longitude
  • Minutes
  • Modality
Output:
  • GeoJSON containing a polygon for each item in the minutes array

Description:

This data procedure generates a so-called isochrone from a starting point. The isochrone is a generated polygon from connected points which are based on the max travelled distance from a starting point in any direction over the network of the chosen modality.

Case studies:
  • Visualize the traveltime for any type of facility (trainstations, busstops, etcetera)
  • Use it in combination with the area statistics API call to get insight in reachability within

Isochrone API

Price:

  • Done (100%)
 
100% funded

Page

In order to gain insights in locations for new housing developments data insights are valuable.

With aggregates of the BAG, TOP10NL, EP-online and the CBS this data service provide a first insight in an area.

-How many people live there?
-What type of houses are there?
-What is the average energy label?

Input: Any geometric shape –> output: json with a Table with statistics.

100% funded

Input:

  • Modality: Car, pedestrian, cycling
  • List of coordinates in 28992
Output:
  • Geojson with a route

Explanatory description:

For anyone who has a list of coordinates that he wants to translate into a route over the network the StraTopo Euclidean route generator is the answer. The ERG connects your input points to a network element of a complete network of the modality of your choice. The data procedure generates the most logical route based on Euclidean distance between the network elements that your input coordinates got connected to.

Case studies:
  • Visualize the cycling routes for your students to a school
  • Visualize routes for garbage trucks
Price:
  • Contact us for more information
0% funded

Input:
  • Latitude
  • Longitude
  • Minutes
  • Modality
Output:
  • GeoJSON containing a polygon for each item in the minutes array
 
Description:
This data procedure generates a so-called isochrone from a starting point. The isochrone is a generated polygon from connected points which are based on the max travelled distance from a starting point in any direction over the network of the chosen modality. With the activation of this module we would add a countries network to the current isochrone functionality. While adding a country is as simple as running the OSM2Topology route generator StraTopo developed we will add documentation and test the routing algorithm on the network before placing it live. Therefore this still needs an investment.
 
Case studies:
  • Visualize the traveltime for any type of facility (trainstations, busstops, etcetera)
  • Use it in combination with the area statistics API call to get insight in reachability within
Price:
Price (dependent on country size), contact us for more information
 
60% funded

Input:

  • A list of coordinates and an ID per coordinate
  • A modality (walk, bike, car)
  • Data response (BAG addresses, BAG buildings, OSM buildings)
  • Max amount of traveltime (max 30 min)
Output:
  • Geojson with a list of data response objects (either BAG addresses, buildings or OSM buildings) with an attached traveltime, a function of the address or building, the inputted ID of the related starting object and the geometry.

Description:

With the mass traveltime calculation data procedure a user can calculate the traveltime from a list of points to objects in a large-scaled dataset. In the Netherlands the BAG is prepared. The BAG contains all addresses and buildings in the Netherlands.

A user inputs a list of coordinates and gets a geojson as a file returned. This file can be visualized in geosoftware like QGIS and in online geo platforms. Also, by aggregating the data statistics can be generated like, 66% of all Dutch citizens live within 15 minutes of cycling of train stations in the Netherlands.

Case studies:
  • Bicycle Oriented Development
  • Reachability insights train stations
Price:
  • Contact us for more information
25% funded

AI for mobility and CO2 emissions predictions at StraTopo

  • A geospatial area
  • Selection of modalities
  • Optional: network change
Output:
  • Network per selected modality filled with intensities

Description:

This data procedure generates an intensity map in the inputted geospatial area. An AI-based simulation model that is trained on measured intensity data will generate intensities on the road networks from spatial environments. It is unclear what the spatial environment will exist off as of yet. You could think in line of buildings with characteristics like surface, function and neighborhood demographics.

Case studies:
  • With the intensities, CO2 emission estimates from mobility can be generated
  • Predict road maintenance based on expected intensities
  • Help city planners gain insight in the effect of spatial change (mobility hub, high speed bike way, housing plan) on multimodal intensities
Price:
  • Contact us for more information
0% funded
Input:
  • A list of coordinates and an ID per coordinate
  • A modality (walk, bike, car)
  • Data response (OSM buildings)
  • Max amount of traveltime (max 30 min)
 
Output:
  • Geojson with a list of data response objects (OSM buildings) with an attached traveltime, a function of the address or building, the inputted ID of the related starting object and the geometry.
 
Description:
With the mass traveltime calculation data procedure, a user can calculate the traveltime from a list of points to objects in a large-scale dataset. In the Netherlands, the BAG is prepared. The BAG contains all addresses and buildings in the Netherlands. A user inputs a list of coordinates and gets a geojson as a file returned. This file can be visualized in geosoftware like QGIS and in online geoplatforms. Also, by aggregating the data statistics can be generated like, 66% of all Dutch citizens live within 15 minutes of cycling of train stations in the Netherlands. For other countries, we can use the OSM buildings as a starting point. However, if (open) data is delivered that can be integrated.
 
Case studies:
  • Bicycle Oriented Development
  • Reachability insights train stations
 
Price:
  • Contact us for more information
25% funded

Input:

  • Starting coordinate
  • End coordinate
  • Modality (walk/car/bike)
 
Output:
  • GeoJSON with the route, traveltime and distance attached to it
Description
 
With the route planner a route is made over the network between the given starting and endpoint. The route with the most optimal traveltime will be generated and returned as a shape. In the response the traveltime and the covered distance is given.
 
Price:
  • Contact us for more information
Case studies
  • By programmatically calling the API with start and endpoints mass calculations of traveltime from multiple start to endpoints can be generated
25% funded
Calculating the optimal route between two points is relatively straightforward with standard GIS packages.

Calculating the shortest travl time including multimodal trips brings in another dimension. StraTopo can develop this as an API call in the Netherlands.

Input: Starting coordinate (A) – resulting coordinate (B): Output a geojson with the route from A to B.

33% funded

Op Geofactoren Gebaseerd Woningwaarderingsmodel

Input:

  • Address or address id from BAG
 
Output:
  • Table with the resulting housing value and the factors it has been based on
Description
 
We worked on several algorithms to determine a housing valuation. In order to train the initial model we used offering prices and not transaction values. For an assignment we had the opportunity to make use of actual transaction prices and we learned our models where promising. However, we are not allowed to re-use that data. As soon as we get access to quality transaction prices we can continue with the development of our geospatial housing valuation model. Currently we are using the offering prices to learn which geospatial factor has what influence on a transaction price. For more information about that, contact us at info@stratopo.nl
 
Case studies
  • Housing valuation for tax purposes
  • Consumer interested in a realistic housing price
  • Adding the influence of geospatial factors to your housing valuation model

Price

Contact us for more information

50% funded

Input

  • A list of GPS coordinates

Output:

  • The list of GPS coordinates with a modality added to it
Description
 
We have succesfully executed a datamodel classifying a bundled list of GPS coordinates to trips with a modality classified to it. We would need to transform that datamodel into an automated procedure which can be set up as a webservice. Our model takes into account speed and the underlying infrastructure. 
 
Case studies
  • To enrich data of apps that track users GPS coordinates can be transformed with this module to GPS tracks with a modality attached to it.

Price

Contact us for more information