Numerous applications of the KDE+ are possible. If you have line features with points or events along them, you can analyze their pattern with this method to check whether the features are clustering or not. If uncertain whether the KDE+ is suitable for your data, contact us.

We applied the KDE+ method to traffic accident data on Czech roads. KDE+ was also applied to traffic crash data in the following countries or regions: Sweden, Spain, USA (Idaho, Montana, Texas, California), France, Slovakia, Hungary, Poland, Israel, Switzerland, Italy, Finland, Norway, Germany, Slovenia, Croatia, Belgium, Estonia, Denmark, Lithuania...

KDE+ software is also applied for online data clustering in the following web portals:
www.srazenazver.cz
https://albertawildlifewatch.ca/

Other examples of web map applications with KDE+ clusters

KDE+ software has been applied to data in the following works:

Périquet, S., Roxburgh, L., Le Roux, A., Collinson, W. J., 2018. Testing the Value of Citizen Science for Roadkill Studies: A Case Study from South Africa. Front. Ecol. Evol. 6:15. doi: 10.3389/fevo.2018.00015
https://www.frontiersin.org/articles/10.3389/fevo.2018.00015/full

Favilli, F., Bíl, M., Sedoník, J., Andrášik, R., Kasal, P., Agreiter, A., Streifeneder, T., 2018. Application of KDE+ software to identify collective risk hotspots of ungulate-vehicle collisions in South Tyrol, Northern Italy. European Journal of Wildlife Research 64:59.
https://link.springer.com/article/10.1007/s10344-018-1214-x

Bartonička, T., Andrášik, R., Duľa, M., Sedoník, J., Bíl, M., 2018. Identification of Local Factors Causing Clustering of Animal-Vehicle Collisions on Roads. Journal of Wildlife Management 82, pp. 940-947
https://wildlife.onlinelibrary.wiley.com/doi/full/10.1002/jwmg.21467

Bíl, M., Andrášik, R., Bartonička, T., Křivánková, Z., Sedoník, J., 2018. An Evaluation of Odor Repellent Effectiveness in Prevention of Wildlife-Vehicle Collisions. Journal of Environmental Management 205C pp. 209-214.
https://www.sciencedirect.com/science/article/pii/S0301479717309568

Bíl, M., Kubeček, J., Sedoník, J., Andrášik. R., 2017. Srazenazver.cz: A system for evidence of animal-vehicle collisions along transportation networks. Biological Conservation 213PA, pp. 167-174.
http://www.sciencedirect.com/science/article/pii/S000632071730263X

Bíl, M., Andrášik. R., Nezval, V., Bílová, M., 2017. Identifying Locations along Railway Networks with the Highest Tree Fall Hazard. Applied Geography 87, 45-53.
https://www.sciencedirect.com/science/article/pii/S0143622817301819

Heigl, F., Horvath, K., Laaha, G., Zaller, J. G., 2017. Amphibian and reptile road-kills on tertiary roads in relation to landscape structure: using a citizen science approach with open-access land cover data. BMC Ecology 17:21
https://bmcecol.biomedcentral.com/articles/10.1186/s12898-017-0134-z

Sørensen, J. B., 2017. Moose-vehicle collisions in Northern Norway: Causes, hotspot detection and mitigation. Master thesis. Norwegian University of Life Sciences, Faculty of Environmental Sciences and Natural Resource Management
https://brage.bibsys.no/xmlui/handle/11250/2459160

Andrášik, R., 2017. Spatial analysis of traffic crashes by the use of kernel density estimation. Rigorous Thesis. Palacký University Olomouc.
https://library.upol.cz/arl-upol/cs/csg/?repo=upolrepo&key=95918507531

Sjölund, Magnus, 2016. Road and landscape features affecting the aggregation of ungulate vehicle collisions in southern Sweden. Second cycle, A2E. Grimsö: SLU, Dept. of Ecology
https://stud.epsilon.slu.se/9868/

Arnold, E., 2016 Spatial, Roadway, and Biotic Factors Associated with Barn Owl (Tyto alba) Mortality and Characteristics of Mortality Hotspots Along Interstates 84 and 86 in Idaho. Master Thesis
https://raptorresearchcenter.boisestate.edu/arnold-erin/

Svoboda, T., 2016. Implementace statistické metody KDE+. Master Thesis. VUT Brno

Map of active KDE+ users: