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
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- 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.
- 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:
- Done (100%)
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.
- 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.
- Visualize the cycling routes for your students to a school
- Visualize routes for garbage trucks
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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)
- 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.
- Bicycle Oriented Development
- Reachability insights train stations
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Input:
- One coordinate
- The BOD type, e.g. train station or bus stop
- The BOD score for the provided coordinate
Description:
With the Bicycle Oriented Development (BOD) procedure, the bicycle accessibility of areas and the influence of numerous scenarios on accessibility and mobility can be calculated.
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Input:
- One coordinate
- The BOD type, e.g. train station or bus stop
- The BOD score for the provided coordinate
Description:
With the Bicycle Oriented Development (BOD) procedure, the bicycle accessibility of areas and the influence of numerous scenarios on accessibility and mobility can be calculated.
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Input:
- Latitude
- Longitude
- Minutes
- Modality
- GeoJSON containing a polygon for each item in the minutes array
- 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
- A geospatial area
- Selection of modalities
- Optional: network change
- 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.
- 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
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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)
- 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.
- Bicycle Oriented Development
- Reachability insights train stations
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Contact us for more information
Input:
- Starting coordinate
- End coordinate
- Modality (walk/car/bike)
- GeoJSON with the route, traveltime and distance attached to it
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- By programmatically calling the API with start and endpoints mass calculations of traveltime from multiple start to endpoints can be generated
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.
Input:
- Address or address id from BAG
- Table with the resulting housing value and the factors it has been based on
- Housing valuation for tax purposes
- Consumer interested in a realistic housing price
- Adding the influence of geospatial factors to your housing valuation model
Price
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Input
- A list of GPS coordinates
Output:
- The list of GPS coordinates with a modality added to it
- 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
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