We believe that policy for environment and sustainable development can be be better (more equitable and more effective) when based on the available scientific evidence. We have focused on bridging the gap between scientific data and knowledge, policy formulation and management decision-making by producing and processing databases and making these available for visualisation and download. These are public domain environmental data aimed at improving the information (raw and visualised) available to both the scientific and the practitioner communities. The data are freely accessible to all for non-commercial use.
These databases serve static or dynamically updated downloadable datasets for use in a variety of geo-spatial applications. Much of the spatial data is visualised and downloadable through a Google Earth or Google Maps interface. Region-based network links are used so zoom in to your area of interest to visualise the data. Links are also provided for downloading the raw data in simple formats for use in GIS or remote sensing systems.
If your version of Google Earth shows errors when downloading zipped data files from these sites, please right mouse button click the links to the data and choose save link from the context menu that appears. This will then open the link in your web browser.
These maps show the distribution of number of users of the GEODATA portal over the last 12 months by city (excluding London) and by country
Collaborators and data providers are indicated for each dataset with the dataset. These data are provided free of charge but we kindly request that you cite the author in any publications or products arising from these data in acknowledgement of the significant effort required in producing them and bringing them to you. Further details on citation are given with each dataset.
Users are prohibited from any commercial, non-free resale, or redistribution. Kings College London also request reprints of any publications and notification of any redistributing efforts. Further details on are given with each dataset.
No warranty or liability
AmbioTEK, King's College London and collaborators provides these data without any warranty of any kind whatsoever, either express or implied, including warranties of merchantability and fitness for a particular purpose. AmbioTEK, Kings College London and collaborators shall not be liable for incidental, consequential, or special damages arising out of the use of any data downloaded.
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