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Yoko Futagami
Researcher at Independent Administrative Institution National Research Institute for Cultural Properties
Publications - 5
Citations - 141
Yoko Futagami is an academic researcher from Independent Administrative Institution National Research Institute for Cultural Properties. The author has contributed to research in topics: Effects of global warming & Akaike information criterion. The author has an hindex of 4, co-authored 5 publications receiving 108 citations.
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Journal ArticleDOI
Biological colonization patterns on the ruins of Angkor temples (Cambodia) in the biodeterioration vs bioprotection debate
TL;DR: Light forest cover seems beneficial for the conservation of the Angkor monuments since it reduces evaporation processes, but further studies should be carried out so as to find an optimal balance between contrasting factors.
Journal ArticleDOI
Exploring ecological relationships in the biodeterioration patterns of Angkor temples (Cambodia) along a forest canopy gradient
TL;DR: The descriptive and multivariate statistical analysis applied to data collected from the four temples in the study identifies various biological communities along with a temple-specific ecological succession.
Journal ArticleDOI
Combining Statistical Tools and Ecological Assessments in the Study of Biodeterioration Patterns of Stone Temples in Angkor (Cambodia).
TL;DR: A new and original approach to analyzing changes in patterns of colonization (Biodeterioration patterns, BPs) by biological agents responsible for the deterioration of outdoor stone materials in Angkor (Cambodia).
Journal ArticleDOI
Mapping Climate Change, Natural Hazards and Tokyo's Built Heritage
TL;DR: In this paper, the authors examined the impact of emerging pressures on museums and historic buildings in the Tokyo Area and examined a context to the threat in terms of fluctuating levels of visitors as a response to environmental issues, from SARS and COVID-19 through to earthquakes.
Book ChapterDOI
Multiple Regression Analysis for Estimating Earthquake Magnitude as a Function of Fault Length and Recurrence Interval
TL;DR: In this article, multiple regressions were developed using world earthquake data and active fault data, and the regressions are then evaluated with Akaike's Information Criterion (IEEE Trans Autom Control, 19(6):716-723).