Search Results - "Lessani, M Naser"

Understanding the bias of mobile location data across spatial scales and over time: A comprehensive analysis of SafeGraph data in the United States by Li, Zhenlong, Ning, Huan, Jing, Fengrui, Lessani, M Naser

“…Mobile location data has emerged as a valuable data source for studying human mobility patterns in various contexts, including virus spreading, urban planning,…”
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SGWR: similarity and geographically weighted regression by Lessani, M. Naser, Li, Zhenlong

“…Geographically weighted regression (GWR) offers a local approach to modeling spatial data, considering geographical location and spatial relationships between…”
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An MPI-based parallel genetic algorithm for multiple geographical feature label placement based on the hybrid of fixed-sliding models by Lessani, M. Naser, Li, Zhenlong, Deng, Jiqiu, Guo, Zhiyong

“…Multiple Geographical Feature Label Placement (MGFLP) has been a fundamental problem in geographic information visualization for decades. Moreover, the nature…”
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Automated floodwater depth estimation using large multimodal model for rapid flood mapping by Akinboyewa, Temitope, Ning, Huan, Lessani, M. Naser, Li, Zhenlong

“…Information on the depth of floodwater is crucial for rapid mapping of areas affected by floods. However, previous approaches for estimating floodwater depth,…”
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Human mobility and the infectious disease transmission: a systematic review by Lessani, M. Naser, Li, Zhenlong, Jing, Fengrui, Qiao, Shan, Zhang, Jiajia, Olatosi, Bankole, Li, Xiaoming

“…Recent decades have witnessed several infectious disease outbreaks, including the coronavirus disease (COVID-19) pandemic, which had catastrophic impacts on…”
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From neighborhood contexts to human behaviors: Cellphone-based place visitation data contribute to estimating neighborhood-level depression prevalence in the United States by Jing, Fengrui, Li, Zhenlong, Qiao, Shan, Ning, Huan, Lessani, M. Naser, Li, Xiaoming

“…The elucidation of neighborhood-level mental illness is pivotal to effective community need assessment and public health interventions. However, aggregating…”
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Understanding the bias of mobile location data across spatial scales and over time: A comprehensive analysis of SafeGraph data in the United States by Zhenlong Li, Huan Ning, Fengrui Jing, M. Naser Lessani

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GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis by Akinboyewa, Temitope, Li, Zhenlong, Ning, Huan, Lessani, M. Naser

“…Recent advancements in Generative AI offer promising capabilities for spatial analysis. Despite their potential, the integration of generative AI with…”
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An Autonomous GIS Agent Framework for Geospatial Data Retrieval by Ning, Huan, Li, Zhenlong, Akinboyewa, Temitope, Lessani, M. Naser

“…Powered by the emerging large language models (LLMs), autonomous geographic information systems (GIS) agents have the potential to accomplish spatial analyses…”
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Automated Floodwater Depth Estimation Using Large Multimodal Model for Rapid Flood Mapping by Akinboyewa, Temitope, Ning, Huan, Lessani, M. Naser, Li, Zhenlong

“…Information on the depth of floodwater is crucial for rapid mapping of areas affected by floods. However, previous approaches for estimating floodwater depth,…”
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