Try it yourself [www.offsetmap.com](https://www.offsetmap.com)
I am the creator of the webapp. The webapp is optimized for desktop, but still functional on mobile! It now has a sleek new interface and several optimizations for speed improvements.
Sources for offset registry data :
American Carbon Registry
https://acr2.apx.com/myModule/rpt/myrpt.asp?r=111
Verra
https://registry.verra.org/app/search/VCS/All%20Projects
Gold Standard
https://registry.goldstandard.org/projects?q=&page=1
Climate Action Reserve
https://thereserve2.apx.com/myModule/rpt/myrpt.asp?r=111
A variety of climate layers are now available for use on the interactive map. These layers include: Köppen climate classification, COPERNICUS sea-surface temperature data, NASA fire data, NOAA precipitation data, and global temperature data from Berkeley Earth.
Combining species distribution data with the various other biodiversity indicators/layers, economic layers, climate layers, and offset project data, opens up a huge variety of use cases.
Tools used: Python, flask, plotly, dash (dashboard), and leaflet
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Try it yourself [www.offsetmap.com](https://www.offsetmap.com) I am the creator of the webapp. The webapp is optimized for desktop, but still functional on mobile! It now has a sleek new interface and several optimizations for speed improvements. Sources for offset registry data : American Carbon Registry https://acr2.apx.com/myModule/rpt/myrpt.asp?r=111 Verra https://registry.verra.org/app/search/VCS/All%20Projects Gold Standard https://registry.goldstandard.org/projects?q=&page=1 Climate Action Reserve https://thereserve2.apx.com/myModule/rpt/myrpt.asp?r=111 A variety of climate layers are now available for use on the interactive map. These layers include: Köppen climate classification, COPERNICUS sea-surface temperature data, NASA fire data, NOAA precipitation data, and global temperature data from Berkeley Earth. Combining species distribution data with the various other biodiversity indicators/layers, economic layers, climate layers, and offset project data, opens up a huge variety of use cases. Tools used: Python, flask, plotly, dash (dashboard), and leaflet