IntellinQ
Spatial Data Management

Manage, combine, retrieve and publish geographic data

In almost all areas of work like project work, asset management and research a great variety of data types is used. The options to acquire data can vary extreme from field observations to using LIDAR and satellites. The same variety accounts by data formats and coordinate systems. In addition there are a huge amount of open data sources available that potentially are of interest. Normally the acquired raw data is processed to interpreted data sets. For efficient and reliable use it is important that the data is ease to find, retrieved and used by different user groups.            

Data collection

GeolinQ offers functionality to define datamodels to collect measurements and meta data of the aquiered survey datasets. Feature data, point clouds, raster data and administrative data types are supported. Functionallity is available to import ASCII, Shape, LAS or GeoTIFF files as well as manually collection. Geometries are harmonized  to the datasource coördinatesystem. 

In addition data external datasources, available as a Web Feature Service (WFS) can be harvested as well as linking existing database to GeolinQ. 

All datasets are available to visualise and query on all atributes of the datasets the moment they are harvested or linked. 

Integrating and selecting data

To integrate datasets and create selections GeolinQ offfers the following functionality: 

Function Addition information
JOINS Join feature en entity datasets based on joined attributes.
UNIONS Combine feature and entity datasets.
VIEWS Define selections based on feature and entity datasets and conditions.
Seamless Point Surface Select, combine and de-conflict point cloud and raster datasets using meta data and joined atributes from multiple datasets 

The GeolinQ page Views and Processes gives an overview of the available integration functionality and processes.

Publishing data

Datasets can be used as data layers in configurable maps. Pointdata can be visualised using colorscales based on point atributes. Featuredata can be styled using SLD's using the feature atributes of the datasets. Multiple maps can be publised in Map portals.