chapter on GIS-Based Data Synthesis and Visualization published

chapter on GIS-Based Data Synthesis and Visualization published

March 13, 2018

Ecological Informatics: An IntroductionOur chapter in the book “Ecological Informatics – Data Management and Knowledge Discovery” is finally published. The chapter “GIS-Based Data Synthesis and Visualization” lead by Duccio Rocchini deals with visualizing spatial uncertainty in species distribution based on cartograms, as well as fuzzy methods to synthesize species distribution uncertainty. Remote sensing data analysis and measuring ecological diversity from space are covered as well. Examples using the free and open source software GRASS GIS and R are provided.

read more: Duccio Rocchini, Carol X. Garzon-Lopez, A. Marcia Barbosa, Luca Delucchi, Jonathan E. Olandi, Matteo Marcantonio, Lucy Bastin, Martin Wegmann (2019) GIS-Based Data Synthesis and Visualization

https://www.springerprofessional.de/en/ecological-informatics/15084138

follow us and share it on:

you may also like:

UrbanPulse in the Mainpost, and invitation to the festivities

UrbanPulse in the Mainpost, and invitation to the festivities

If you open the printed Mainpost today, keep an eye out for the Universitätsbund Würzburg’s invitation to the Festkonzert. Among the topics on the page, there’s one we’re rather proud of: our newly funded project URBAN:Pulse, which will be officially celebrated at the...

Field work for MONID-HABITRACK project

Field work for MONID-HABITRACK project

Today our researchers from the department working on the MONID-HABITRACK project, that is funded by the BMFTR, went to the field to acquire LiDAR, thermal and multispectral data with their drones. Within our department the project is located at the Chair of Remote...

Remote Sensing for Germany #2

Remote Sensing for Germany #2

Last year, we gave an overview of our remote sensing work on environmental issues having a special focus on Germany – https://remote-sensing.org/remote-sensing-for-germany-1/ . To follow on from this, we present today a selection of studies on spatial patterns...

bzgl. Art. 50 Verordnung (EU) 2024/1689 (AI Act):

Überwiegend werden eigene originäre Texte und Bilder des EORC genutzt, jedoch sind einige Inhalte von blog post Texten teilweise mit Hilfe von KI überarbeitet worden und einige Bilder sind ganz mit KI erstellt, die jedoch deutlich keine photorealistische Darstellungen abbilden. Aussnahmen sind KI generierte fernerkundliche Datensätze, die explizit für Forschungszwecke mit KI erstellt wurden, hier wird aber durch den assoziierten Text der wissenschaftliche Grund der KI generierten Bilder erläutert.

Share This