ClimVis supports you as a service provider in the processing of your data. This includes cleaning and preparation as well as analysis and visualization of extensive data from different fields like geomarketing, journalism, environment, climate, insurance or real estate industry.
Data formats: CSV, Excel, Shapefile, GeoJSON, TopoJSON, JSON
Tools: R, QGIS, MySQL, bash, leaflet, nvd3
Do you have questions or interest in working with ClimVis?
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Interactive Data Visualization
Detailed and intuitive query of intensive data in interactive maps and charts – Geodata with different spatial reference like administrative areas, postal code areas, constituency or countries are shown.
Links: Public data
Extreme weather events like tropical cyclones, droughts or cold snaps often cause significant property damage and personal injuries. So, they are of central importance for insurance companies and risk management. Have a look at some extreme weather events from a climatological perspective. Animation of satellite images and data from NOAA (National Oceanic and Atmospheric Administration) on YouTube.
Links: Weather data
Geodata processing, statistics or digital image processing. There are a variety of methods for data analysis in order to get the most out of large data sets: Overview of Data Analysis methods
R is a free open source software programming language for statistical computing and graphics. The R language is widely used among statisticians and data miners. Due to the numerous integrated functions, R is very well suited for the preparation, analysis and visualization of large data sets. These numerous R-commands can be extended by a variety of packages and adapted to specific problems in different application areas. Below, some R-Tutorials: