Simulation of the impact of choosing different licensing schemes on innovation and data flows
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Updated
Jun 10, 2013 - JavaScript
Simulation of the impact of choosing different licensing schemes on innovation and data flows
Using a pre-trained model to identify plant and animal species
This code for "Fairy circles imply high resilience of self-organized salt marshes" by L.-X. Zhao, K. Zhang, K. Siteur, X.-Z. Li, Q.-X. Liu, J. van de Koppel. The codes were implemented on anaconda platform with pyopencl package and Jupyter.
Modelling tool for generating BC Biogeoclimatic Ecosystem Classification (BEC) polygons
Indicative distribution maps for Ecosystem Functional Groups - Level 3 of IUCN Global Ecosystem Typology - Earth Engine Code
🌳 A curated list of ground-truth forest datasets for the machine learning and forestry community.
Content and map information for the IUCN Global Ecosystem Typology
Reproducible workflows in R for processing open geodata to create knowledge about KfW supported protected areas and conservation effectiveness.
The research estimates the effects of mergers of digital ecosystems with Russian startups in different niches of the venture investment in these niches.
My Digital Garden of Wikipedia: all I know, practice and aspire to.
Normalize lag times across files
Heck.In hedgerow ecosystem assessment application (Android)
An ecosystem simulator written in python with genes and a low-level brain.
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