About

Thank you for visiting Gauge. This website is to show the portfolio of geodata analysis. The raw data came from ACLED for the political data, and official governmental data for the geojson and population data.

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Since 2010s, the AI revolution has changed the forms of each organization and industry. It enabled us to deal with a large amount of data, which we had not imagined before the emergence of Jupyter Python. However, just like other technological innovation, there were full of problems, cyber hackings (data leaking), malicious data falsification etc. for the first decade. Due to such numerous problems, many people lost trusts for the technology companies, other companies which collect clients' personal data and the AI technology itself.

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The trend of geodata analysis by python has begun just recently. Geodata analysis has been called GIS (Geographic Information System) for a long time. However, normally, traditional system is very heavy and it is often over a very expensive platform. Jupyter Python and Geopandas enables us to analyze a large amount of data at the same time and in a short calculation time. For example, Gauge. deals with a very heavy data sets from ACLED (often more than 1 GB) with numerous incident details. It is impossible to open this data via Microsoft Excel or Notepad. However, Jupyter Notebook enables to combine this heavy data with the geographical data (.geojson, .shp etc.) which is also very heavy.

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One of the best points of this geopolitical data analysis is that there is almost no risk of cyber hacking because everything is based on the open data. Geographical (map) data is obviously open data and there is an obvious public consensus on the borders. When it comes to the "political" data by ACLED, there are still issues of political bias. For example, ACLED data often does not reflect the attacks by "civilians" (which means NGO workers, medical workers, religious missionaries and their military units). However, ACLED reflect the official data declared from each government. So, I think that it is more reliable than the intentional edited news from each mass media. In fact, most of the NGOs, UN, and media rely on the data from ACLED. So, at least, it can demonstrate what NGOs and Media know to determine their activity in the war zone.

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This website shows the portfolio of the geopolitical data analysis. For the request of further analysis, lectures (Jupyter Python, Geopandas, Plotly etc. for geographical data science) and other question, please contact me from the following form.

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