Contextual and differential computing for the multi-dimensional world map with context-specific spatial-temporal and semantic axes

In the natural environment research field, computer systems are widely utilized. The majority of computer systems are used to store observed data. Super computers are used to simulate environment changes, for example, the global climate change. Prior research has shown that computer systems make it possible to store and access huge amount of observed data based on database manage systems. The simulation accuracy of nature environment changes is also improved accompanied by the progress of computer technology. In this work, we propose a new method to discover what are happening in the nature of our planet utilizing differential computing in our Multi-dimensional World Map. We have various (almost infinite) aspects and contexts in environmental changes in our planet, and it is essential to realize a new analyzer for computing differences in those situations for discovering actual aspects and contexts existing in the nature of our planet. By using Differential Computing, important factors that change natural environment are highlighted. Furthermore, the highlighted factors are visualized by using our Multi-dimensional World Map, which makes it possible to view the nature environment changes in the view of history, geographic, etc.