About this Research Topic
Climate and societal changes sometimes trigger discord between people and ecosystems. To clarify the temporal change of this discord and its factor, we need an integrated analysis system that uses various kinds of natural and societal data records(e.g., weather, disaster, phenology, land cover, and land use, economy, calling, and culture). However, this has not been yet sufficiently analyzed due to the following four issues: (1) Despite the development of digital archives and open access, the use of historical records is inadequate for natural sciences; (2) Invaluable data still remain inaccessible in the local libraries, museums, and private residences; (3) Language barriers hinder international studies; and (4) Practice and technology development of data mining from ‘big analog data’ (e.g., literature, voices, and videos) are still insufficient.
To solve these issues, firstly we should mine the invaluable historical dark data’ from libraries, museums, and private collections, which are still sleeping (i.e., ‘analog big data’). Secondly, we should publish these data translated into English with useful meta information. Thirdly, we should analyze these data to clarify climatic and environmental issues from an interdisciplinary and multidisciplinary perspective. Finally, to evaluate the uniqueness and generality of our findings from this analysis, we should perform an integrative evaluation of the dark historical data with existing knowledge and observation data collected from fieldwork and satellites. To achieve this, this Research Topic will focus on deepening our understanding of the ‘glocal’ environmental changes by data mining from analog big data’ from the viewpoint of the relationship between people and ecosystems.
We welcome the following contributions:
• Case studies of data mining from ‘analog big data’ in each country and region.
• Proposal and development of smart methods of data mining from ‘analog big data’.
• Publication of ‘invaluable data sets’ or mined by yourself and ‘data mining support tools’ developed by yourself.
• Integrative studies among fieldwork, satellite observation, and analysis of ‘analog big data’.
• Review and perspective of data mining from ‘analog big data’ for climate and environmental studies development.
In particular, we welcome papers from non-English speaking countries and regions.
To solve these issues, firstly we should mine the invaluable historical dark data’ from libraries, museums, and private collections, which are still sleeping (i.e., ‘analog big data’). Secondly, we should publish these data translated into English with useful meta information. Thirdly, we should analyze these data to clarify climatic and environmental issues from an interdisciplinary and multidisciplinary perspective. Finally, to evaluate the uniqueness and generality of our findings from this analysis, we should perform an integrative evaluation of the dark historical data with existing knowledge and observation data collected from fieldwork and satellites. To achieve this, this Research Topic will focus on deepening our understanding of the ‘glocal’ environmental changes by data mining from analog big data’ from the viewpoint of the relationship between people and ecosystems.
We welcome the following contributions:
• Case studies of data mining from ‘analog big data’ in each country and region.
• Proposal and development of smart methods of data mining from ‘analog big data’.
• Publication of ‘invaluable data sets’ or mined by yourself and ‘data mining support tools’ developed by yourself.
• Integrative studies among fieldwork, satellite observation, and analysis of ‘analog big data’.
• Review and perspective of data mining from ‘analog big data’ for climate and environmental studies development.
In particular, we welcome papers from non-English speaking countries and regions.
Keywords: climate change, ecosystem, historical dark data, satellite, big data, mining
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
