Spatial Analysis and Modeling - Awards
The Spatial Analysis and Modeling (SAM) Specialty Group traditionally hosts student paper competitions for both graduate and undergraduate students. Beginning in 2011, the first prize of the competition is named John Odland Student Paper Award.
1st Prize
Victor Irekponor (University of Maryland)
Generalized Local Additive Spatial Smoothing (GLASS): A New Approach to Mitigating the Modifiable Areal Unit Problem in Local Regression Modeling
2nd Prize
Xinyang Zhang (Louisiana State University)
How Communities Recover from Hurricanes: Modeling Dynamic Resilience with a Graph Attention (GAT)-enhanced Bayesian Network
3rd Prize
Chintan B. Maniyar (University of Georgia)
Physics-Informed Probabilistic Geo-AI Framework for Uncertainty-Aware CyanoHAB Monitoring: A Ground-to-Space Approach
1st Prize
Jiwon Baik (University of California, Santa Barbara)
Maximum Unobstructed Shortest Path between Multipart-Continuous geometries: Enabling novel type of Access Evaluations for Urban Safety
Mengyu Liao (University of Maryland)
A data-driven approach to spatial interaction models of migration: The case of competing destinations and intervening opportunities
2nd Prize
Chengbo Zhang (Harbin Institute of Technology Shenzhen)
Uncovering the Community Structure and Evolutionary Dynamics of Instant Delivery Networks
3rd Prize
Ehsan Foroutan (Oklahoma State University)
Revealing Key Factors of Heat-Related Illnesses Using Geospatial Explainable AI (GeoXAI) Model
1st Prize
Haoyu Wang (University of Texas Austin)
Using Species Distribution Modeling for Geoforensic Analyses
2nd Prize
Mingzheng Yang (Texas A&M University)
Sleepless Cities under Social Isolation: Geographically and Temporally Revealing Circadian Rhythm Disorders
through Social Media
3rd Prize
Hao Yang (University of Georgia)
Exploring Human Mobility Patterns: A Novel Approach to Sequential Pattern Mining and
Similarity
Measurement
Congcong Miao (University of Connecticut)
Assessing network-based traffic crash risk using prospective space-time scan statistic
method
1st Prize
Changwha Oh (University of Tennessee)
Spatially informed p-dispersion problem and efficient solution approach
2nd Prize
Tyler Hoffman (Arizona State University)
Controlling for spatial confounding and spatial interference in causal inference: Model
selection advice from a computational experiment
3rd Prize
Weiying Lin (Texas A&M University)
Spatial inequalities in street-tree abundance transpire across scales in Houston, TX
Wataru Morioka (University of Illinois Urbana-Champaign)
Spatially-weighted Network Dual K function: Model Development and Application to Healthy
and Unhealthy Food Environment
1st Prize
Lenka Hašová (University of Bristol)
Spatial structure of Spatial Interaction: Using Graph structural information in
Modelling Bipartite Networks
2nd Prize
Meiliu Wu (University of Wisconsin, Madison)
People-based Segregation Indices: Measuring Segregation with Individual’s Activity Space
and Demographics in U.S. 50 Largest Cities Using Social Media
3rd Prize
Mehak Sachdeva (Arizona State University)
Scale and Local Modeling: New perspectives on voting behavior in the United States
Honorable Mention
Jing Xu (University of California - Santa Barbara)
Spatial Optimization for Balancing Workloads in Coverage Modeling
1st Prize
Junghwan Kim (University of Illinois at Urbana-Champaign)
An examination of the effects of the neighborhood effect averaging problem (NEAP) on the
assessment of sociodemographic disparities in air pollution exposures: Evidence from Los
Angeles
2nd Prize
Joe Chestnut (University of Denver)
Exploring the Utility of Gini Coefficients as a Measure of Temporal Variation in Public
Transit Travel Time
3rd Prize
Jessica Strzempko (Clark University)
The Flow matrix offers a straightforward alternative to the problematic Markov
matrix
1st Prize
Ziqi Li (Arizona State University)
Measuring Bandwidth Uncertainty in Multiscale Geographically Weighted Regression Using
Akaike Weights
2nd Prize
Nana Luo (San Diego State University)
Modeling Human Daily Movement in a Spatially and Temporally Explicit Framework: A
Simulator Integrating Bayesian Network and Activity-based Models
3rd Prize
Paul H. Jung (University of North Carolina at Charlotte)
Multivariate Neighborhood Trajectory Analysis: A Proposal of Functional Data Analysis
Approach
1st Prize
Meifang Li (SunYat-sen University; Dartmouth College)
Modeling of Communicable Disease Transmissions with Real Human Mobility and Disease Data
2nd Prize
James Gaboardi (Florida State University)
A Polygon-Based Approach to Spatial Network Allocation
3rd Prize
Nastaran Pourebrahim (University of North Carolina at Greensboro)
Modeling Trip Distribution using Twitter data and Machine Learning
Honorable Mention
Jarnardan Mainali (Portland State University)
1st Prize
Yoo Min Park (University of Illinois at Urbana-Champaign)
Spatiotemporal Analysis of Multi-Contextual Segregation in Urban Areas
Levi Wolf (University of Bristol)
Single- and Multi-Scale Models of Process Spatial Heterogeneity
2nd Prize
Xiaojun Pu (University of Texas at Dallas)
Modeling Network Autocorrelation in Spatial Interaction Data: With an Application using
Interprovincial Migration Flows of China
1st Prize
Ashkan Gholamialam (University of Missouri)
Modeling Alternative Routes for Bicyclists
2nd Prize
Cody Schank (University of Texas at Austin)
Using a Novel Model Approach to Assess the Distribution and Conservation Status of the
Endangered Baird’s Tapir
3rd Prize
Wangshu Mu (University of Arizona)
A Spatial-Knowledge Enhanced Heuristic for the p-Median Problem
1st Prize
Dara Seidl (San Diego State University)
Privacy and False Identification in Geomasking Techniques
2nd Prize
Alexander Hohl (University of North Carolina at Charlotte)
Accelerated Discovery of Infectious Disease Clusters Using Adaptive Spatiotemporal
Domain Decomposition
3rd Prize
Su Yeon Han (San Diego State University)
Revisiting the Death of Geography in the Social Network Era: Using Social Media
(Twitter) to Measure the Effect of Distance Decay on Spatial Interaction between
Cyberspace and Real Space
Debbie Blackmore (Portland State University)
A Geospatial Tool for Wetland Prioritization at the Watershed Scale
1st Prize
Sinha Parmanand (University of Texas at Dallas) and Xiang Ye (University at
Buffalo-SUNY)
Moran Correlation Coefficient
1st Prize
Paul Holloway (University of Texas at Austin)
Sensitivity Analysis of Step Selection Function Model Parameters
Honorable Mention
Ying Song (Ohio State University)
Modeling Movement Probabilities within Transportation Networks Using Network Time Prisms
and Stochastic Spatio-Temporal Processes
1st Prize
Ruojing Scholz (Texas State University)
Detection of dynamic activity patterns at collective scale from large volume trajectory
data
2nd Prize
Jing Gao (University of Buffalo)
Bias-variance error decomposition for geospatial regression models
3rd Prize
Luyang Ren (Clark University)
Implementing Visual Contrast in Viewshed Determination
Qiaojue Wang
1st Prize
Elizabeth Delmelle (University of North Carolina at Charlotte)
The Reciprocal Relationships of Neighborhood Quality of Life Dynamics: A Structural
Equation Modeling Approach
2nd Prize
Ran Wei (Arizona State University)
Spatial Uncertainty in Forest Management Planning
3rd Prize
Kangping Si (Clark University)
Modeling the Interlocking World City Network with Exponential Random Graph (p*) Models
1st Prize
Li Zhou (University of Cincinnati)
Investigating Gasoline Zone Pricing in Cincinnati by General Linear Modeling
2nd Prize
Yujia Zhang (Clark University)
Characterizing Land Changes over Several Points in Time
3rd Prize
Michael J. Widener (University at Buffalo)
Developing a Parallel Computational Implementation of AMOEBA for Large Spatial Datasets
1st Prize
Lina Cao (University of Utah)
2nd Prize
Xingjian Liu (Texas State University - San Marcos)
Woo Jang (University of Georgia)
1st Place Undergraduate Student Prize (awarded for the first time)
Katherine Johnson (Stanford University)
1st Prize
Yongwan Chun (University of Texas-Dallas)
Modeling Network Autocorrelation within Migration Flows by Spatial Eigenvectors
Jamison F. Conley (Pennsylvania State University)
Using Moment Invariants to Analyze Cluster Shapes and Hypothesize Potential Causes
2nd Prize
Neeti Neeti (Clark University)
Modeling Trends in Phenological Curve Shape Properties Using AVHRR-NDVI Data
1st Prize
Qiang Cai (University of Iowa)
2nd Prize
David Wheeler (Ohio State University)
Youngho Kim (Ohio State University)
1st Prize
Jonathan Schroeder (University of Minnesota)
2nd Prize
Noah Goldstein (University of California at Santa Barbara)
3rd Prize
Soumya Mazumdar (University of Iowa)
1st Prize
Eun-Hye Yoo (University of California at Santa Barbara)
2nd Prize
Eric Delmelle (SUNY-Buffalo)
Richard Middelton (University of California at Santa Barbara)
Emerging Scholar Paper Competition
Ikuho Yamada (IUPUI)
Changjoo Kim (Ohio State University)
Infrastructure design and cost allocation in hub network.
Nicholas Nagle (University of California at Santa Barbara)
A point-based regression analysis of industrial location.
Kai Chi Leung (Clark University)
Incorporation of spatial configuration in land allocation: a threshold approach.
Sang-Il Lee (Ohio State University)
Developing a bivariate spatial association measure: an extension of Moran's I.
The SG judges declined to award a prize in the student paper competition. The emerging scholar prize was awarded to Qing Shen (MIT) for his paper entitled, "An approach to representing the spatial structure of the information society."
Peter Fellows (Syracuse University)
Pat Pellegrinil (Ohio State University, 1996 Ph.D. from SUNY/Buffalo)
Michael Tiefeldorf (Ph.D. student, Wilfrid Laurier University)
The Spatial Analysis and Modeling (SAM) Specialty Group of the American Association of Geographers welcomes applications for the annual Student Travel Awards. The SAM specialty group will offer a travel stipend to students who plan to travel and present in-person at the AAG Annual Meeting.
Dr. Ling Bian is Director of the National Center for Geographic Information and Analysis (NCGIA). Her research has shaped the conceptual and analytical frameworks for representing spatial mobility, interaction, and networked geographic phenomena, with findings published in leading journals including the Proceedings of the National Academy of Sciences, Annals of the American Association of Geographers, and the International Journal of Geographical Information Science. She is also a recipient of the Leica Geosystems Award for Best Scientific Paper in Remote Sensing from the American Society of Photogrammetry and Remote Sensing. Since 2018, she has served as Methods Section Editor of the Annals of the American Association of Geographers, further demonstrating her commitment to advancing geographic scholarship.
Heejun Chang from Portland State University
Kathleen Stewart from from University of Maryland
May Yuan from The University of Texas at Dallas
Rachel Franklin from Newcastle University
Li An from San Diego State University
David Wong from George Mason University
Janet Franklin from Arizona State University
Mei-Po Kwan from University of Illinois at Urbana-Champaign
Sergio Rey from Arizona State University
Daniel Griffith from the University of Texas at Dallas
Alan Murray from Arizona State University
The emerging scholar award honors early- to mid-career scholars who have made significant contributions to education and research initiatives that are congruent with the mission of AAG-SAM. The candidates must have received their Ph.D. within the last 10 years and must be a member of the AAG-SAM at the time of nomination.
Dr. Geoff Boeing is an Associate Professor in the University of Southern California’s Department of Urban Planning and Spatial Analysis, the Director of USC’s Urban Data Lab, and a Nonresident Senior Fellow at the Brookings Institution. His research explores the spatial outcomes of urban planning through network analysis, geospatial data science, and machine learning. It has won several awards, including the Nobel Sustainability Award, the Stough-Johansson Springer Award, and the Zephyr Foundation’s Technical Achievement Award. Dr Boeing’s research is regularly featured in outlets such as The Economist, The Guardian, The Atlantic, and The Washington Post.
Dr. Taylor M. Oshan is an Associate Professor in the Department of Geographical Sciences and the Center for Geospatial Information Science at the University of Maryland, where he specializes in quantitative geography, spatial analysis, and geospatial data science. His research marries spatial and social science theory with methodological advancements in spatial regression, local modeling, and machine learning, with urban applications focused on transportation, crime, and health. His work has been supported by the NSF, private foundations, local government, and industry, and he has published in leading journals including IJGIS, TGIS, GA, and Annals of the AAG.
Grant McKenzie from McGill University
Lei Zou from Texas A&M University
Yingjie Hu from University at Buffalo
Song Gao from the University of Wisconsin – Madison
Somayeh Dodge from University of California, Santa Barbara
Ran Wei from University of California, Riverside
Wenwen Li from Arizona State University
Steven Farber from University of Toronto at Scarboroughs
Yongwan Chun from the University of Texas at Dallas
Xing-Jian Liu from University of Hong Kong