Dear KDE+ user, Thank you for using our software. We hope you will be satisfied with its performance. Let us know if you have any comments, recommendations or further questions. This tool is provided for free. We only ask you to cite the tool properly and the respective publications where the KDE+ method and this software have been described.
You can freely download the latest version of the KDE+ software. We would like to know, however, who is working with our software. To access the download, please register. It is free and only your name and e-mail is needed. Contact us if you find an error in the software at email@example.com
You can also download the toolbox KDE+ for ArcGIS or STKDE+ for ArcGIS, which is compatible with version ArcGIS 10.4 and higher and with ArcGIS Pro.
Both versions of KDE+ software and STKDE+ toolbox are licensed:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
STKDE+ and KDE+ software
by CDV - Transport Research Centre
are licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
. Based on a work at http://kdeplus.cz/cz/method
If you make use of this software in your academic work, cite us, please:
Bíl, M., Andrášik, R., Svoboda, T., Sedoník, J. KDE+. Computer software. Vers. X.X. Olomouc: CDV - Transport Research Centre, XXXX (year). Web. <www.kdeplus.cz>.
Bíl, M., Andrášik, R., Sedoník, J. STKDE+. Computer software. Vers. 1.0. Olomouc: Transport Research Centre, 2021. Web. <www.kdeplus.cz>.
Related work where the theory on STKDE+ was introduced:
Bíl, M., Andrášik, R., Sedoník, J., 2019. A detailed spatiotemporal analysis of traffic crash hotspots. Applied Geography 107, 82–90.
The KDE+ software is described in the following publication that can also be used as a help:
Bíl, M., Andrášik, R., Svoboda, T., Sedoník, J., 2016. The KDE+ Software: A Tool for Effective Identification of Animal-Vehicle Collision Hotspots Along Networks. Landscape Ecology 31, 231–237.
For theoretical background of the KDE+ method use this citation:
Bíl, M., Andrášik, R., Janoška, Z., 2013. Identification of Hazardous Road Locations of Traffic Accidents by Means of Kernel Density Estimation and Cluster Significance Evaluation. Accident Analysis and Prevention 55, 265–273.