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Author: search.filters.author.Budhathoki, Milan

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Now showing 1 - 6 of 6
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    COVID19 Vaccine Mapper
    (2024-06) Shanker, Stella; Phuyal, Sakar; Budhathoki, Milan
    The COVID-19 Vaccine Mapper, developed by UMD Libraries' GIS and Data Service Center, maps out and highlights various aspects of COVID-19 vaccine development. Such aspects include the location of vaccine developers, the number of approved vaccines by country, and different vaccine delivery routes. Data is sourced from the World Health Organization’s COVID-19 Dashboard and UNICEF’s COVID-19 Market Dashboard. The mapper, created with ArcGIS Experience Builder to join two ArcGIS dashboards, is divided into two pages: Vaccine Candidates and Vaccine Design. Vaccine Candidates provides a general outlook on the global distribution of COVID-19 vaccines, while Vaccine Design details the specifications of the vaccines (intramuscular vs. oral delivery, DNA vs. mRNA, etc.). By analyzing changes in COVID-19 vaccine development across space and time, we can define patterns and quantify trends in the COVID-19 vaccine industry. Above:
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    Analyzing and Identifying Patterns of Temperature and Crime in Chicago
    (2024-06) Budhathoki, Milan; Murlidhar, Ashish; Hans, Abhimanyu; Benjamin, Alice; Harp, Ryan; Sharma, Ashish
    This study investigates the relationship between temperature and crime rates in Chicago over a 20-year period, both at the city level and at the granular census tract level to examine spatial and temporal correlations across different neighborhoods. Crime and temperature data were analyzed at the census tract level to examine spatial and temporal correlations. The study tested the hypothesis that certain crimes increase with warmer temperatures while others rise with colder temperatures, and that higher temperatures predict higher crime overall. Urban climate data from the Weather Research and Forecasting Model (WRF) and public crime data were compared to identify census tracts sensitive to seasonal temperature changes. Different crime types were found to correlate with a heat vulnerability index based on socioeconomic and health metrics. The findings aim to help law enforcement, urban planners, and stakeholders locate areas of heat stress and develop interventions to reduce violence and structured racism in the highly crime-prone neighborhood, with a focus on understanding trends at the census tract level. This novel investigation of the overlooked links between climate, geography, and crime can inform strategies to mitigate urban heat impacts on public safety across different communities.
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    Understanding the Relationship between Crime and Temperature in the Chicago Region
    (2024-01-24) Hans, Abhimanyu; Benjamin, Alice; Sharma, Ashish; Harp, Ryan; Veiga, Carolina; Budhathoki, Milan; Budhathoki, Milan
    This study investigates the relationship between temperature and crime rates in Chicago over a 20-year period. Crime and temperature data were analyzed at the census tract level to examine spatial and temporal correlations. The study tested the hypothesis that certain crimes increase with warmer temperatures while others rise with colder temperatures, and that higher temperatures predict higher crime overall. Urban climate data from the Weather Research and Forecasting Model (WRF) and public crime data were compared to identify census tracts sensitive to seasonal temperature changes. Different crime types were found to correlate with a heat vulnerability index based on socioeconomic and health metrics. The findings aim to help law enforcement, urban planners, and stakeholders locate areas of heat stress and develop interventions to reduce violence and structured racism in highly crime-prone neighborhoods. This novel investigation of the overlooked links between climate, geography, and crime can inform strategies to mitigate urban heat impacts on public safety.
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    Assessing Spatio-Temporal Relationships of Criminal Activity and Temperature in Chicago
    (2022-06) Jaemin, Eun; Budhathoki, Milan; Sharma, Ashish; Harp, Ryan; Chen, Zihan; Budhathoki, Milan
    A research project supervised Milan Budhathoki in collaboration with a faculty from Big10 School. We have been exploring 20 years of daily temperature and crime in the City of Chicago to understand spatio-temporal pattern using GIS and data science method. We will presenting preliminary analysis from the project.
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    VIRTUAL GIS LAB: REMOTE COMPUTING SOLUTION
    (2022) Budhathoki, Milan; Abban, John; Rumingan, Napoleon Jr; Budhathoki, Milan
    During COVID-19 pandemic, UMD libraries & GIS and Spatial Data Center established a virtual GIS lab to connect users who needed access to GIS computing resources remotely. The lab went live 24/7 in October of 2020 and it gained popularity among the users immediately. The lab was equipped with specialized software in Geographic Information Science, Remote Sensing and statistical softwares (ie., SaS, SPSS). I will present how setting up the virtual GIS lab was instrumental to students, faculty, researchers and staff for their research, teaching and learning experience during the pandemic. This presentation will also include facts and figures of the lab users across the campus.
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    Reference Instruction
    (2021-06-23) Gammons, Rachel Wilder; Sly, Jordan; Markowitz, Judy; Budhathoki, Milan
    Focus: What has changed during COVID-19, and what will change when we are able to resume in-person services Agenda: (1) GIS Virtual Lab (Milan Budhathoki), (2) Reference (Judy Markowitz), (3) Virtual Reference & Screen-sharing (Jordan Sly), (4) Fearless Teaching Institute (Rachel Gammons), (5)Open discussion