
Jigyasa BisariaIndian Institute of Forest Management | IIFM · Department of Information Technology and Quantitative Techniques
Jigyasa Bisaria
PhD mathematics
About
20
Publications
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82
Citations
Citations since 2017
Introduction
Data science applications in Climate Change and Spatial Data mining
Additional affiliations
June 2014 - September 2014
July 2007 - June 2010
Publications
Publications (20)
Climate change has impacted forest ecosystems and their associated benefits/services that play an important role in global ecological balance and support the livelihood of the rural poor, especially in the forest fringe villages. A higher dependency on natural resources, lack of other livelihood options and disconnectedness from mainstream developm...
Climate change impacts on tropical forests and tree species have been documented as changes in distribution, growing period, phenology, habitat, productivity, species composition, and migration. This study attempts to assess the current and future habitat suitability distribution of two dominant species of Central India, teak (Tectona grandis Linn....
Understanding synergies and trade‐offs between forests, water, and climate change is warranted for designing effective policies and strategies for managing water and forests, which are essential for sustenance, ecological proliferation, and economic development. Forests are considered global storehouse of resources, functioning as ecosystem service...
The authors reviewed the existing
framework of forest monitoring
in India and concluded that the
framework included a few
ecological aspects and ignored
the economic and social
dimensions. In light of these
observations, they argue for a
comprehensive indicator-based
monitoring framework from a
multidimensional perspective to
unlock the full potent...
This study attempts to understand the climatic resilience of two forest types of central India—that is, Tectona grandis (Teak) forest of Satpura Tiger Reserve and Shorea robusta (Sal) forest of Kanha Tiger Reserve—using normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) extracted from MODIS, and climate
variable data set...
This study attempts to understand the climatic resilience of two forest types of central India-that is, Tectona grandis (Teak) forest of Satpura Tiger Reserve and Shorea robusta (Sal) forest of Kanha Tiger Reserve-using normalized difference vegetation index (NDVI), enhanced vegetation index (EVI) extracted from MODIS, and climate variable data set...
The purpose of this study is to assess the management of bamboo across the gradient of government and community-managed forests in Maharashtra, a leading Central-Indian state in decentralized forest governance. Over the last few decades, new right-based legislations have paved the way for decentralizing forest governance in India. We first pioneere...
The present study analyzed precipitation and temperature trends of 45 years (1971–2015) over two protected areas (Kanha Tiger Reserve representing Sal forest and Satpura Tiger Reserve representing Teak forest) in Central India. The specific trends (decadal, annual, and seasonal) are calculated from various available data sources (IMD, REMO, and Sta...
Over the last few years, the bamboo policy in India has undergone a major change. The national bamboo development programme has been restructured with a shift in priority from restoring bamboo forests to promoting farm bamboo and developing its market linkage. This programme earlier with the environment ministry, is now housed in the agriculture mi...
Over the last few decades, new right-based legislations have paved the way for decentralizing forest governance in India. The granting of Community Forest Resource (CFR) right titles has not been without its concerns and controversies. The purpose of this study is to objectively assess bamboo management across the gradient of government and communi...
Customer contacts to various businesses identified in telecom call records convey their interest in availing those services. Multi-dimensional attribute dependence with day and time of such communications generate useful insights for targeted advertising. Also, frequent and significant inter patterns of service associations give the probability tha...
Climate change poses a severe threat to the forest ecosystems by impacting its productivity, species composition and forest biodiversity at global and regional level. The scientific community all over the world is using remote sensing techniques to monitor and assess the impact of climate change on forest ecosystems. The consistent time series data...
Forest ecosystems play a key role in global ecological balance and provide a variety of tangible and intangible ecosystem services that support the livelihoods of rural poor. In addition to the anthropogenic pressure on the forest resources, climate change is also impacting vegetation productivity, biomass and phenological patterns of the forest. T...
While microfinance companies have been studied and
there is a growing consensus that they exclude the
poorest, the impact of government microfinance
programmes is relatively less understood. The National
Rural Livelihoods Mission, which aims to reduce rural
poverty by organising women into self-help groups,
building capacity and providing access to...
Increasing population raised the housing demand and growth of real estate sector; which played an important role in the existence of gated residential communities in Indian cities. Due to relaxation in regulations by the government on prime agriculture and vital green spaces for residential land use, the decline in per capita green space is registe...
Frequent sequential patterns mining finds intresting event sequences from various real world databases under study. However, most of real world databases are subject to updations with advancement of time. The problem of incremental mining of sequential patterns is about finding frequent sequential patterns in updated sequence database by reusing th...
Now a days, data mining and knowledge discovery methods are applied to a variety of enterprise and engineering disciplines to uncover interesting patterns from databases. The study of Sequential patterns is an important data mining problem due to its wide applications to real world time dependent databases. Sequential patterns are inter-event patte...
Data mining and knowledge discovery methods host many decision support and engineering application needs of various organisations. Most real world data has time component inherent in them. Sequential patterns are inter-event patterns ordered in time associated with various objects under study. Analysis and discovery of frequent sequential patterns...