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1
The Political Importance of Movement: Understanding Political Districts Using Spatial Interaction Networks.
The Political Importance of Movement: Understanding Political Districts Using Spatial Interaction Networks.
Kruse, Jacob.Geography. | The University of Wisconsin - Madison. | 2024
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2
Spatial Control in Multi-step, Multi-catalyst Organometallic and Electrochemical Processes.
Spatial Control in Multi-step, Multi-catalyst Organometallic and Electrochemical Processes.
Jolly, Brandon Joseph.Chemistry 0153. | University of California, Los Angeles. | 2024
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3
Output Market Power and Spatial Misallocation.
Output Market Power and Spatial Misallocation.
Franco, Santiago.Economics. | The University of Chicago. | 2024
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4
Spatial Reasoning in Dynamic Scenes.
Spatial Reasoning in Dynamic Scenes.
Van Hoorick, Basile.Computer Science. | Columbia University. | 2024
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5
Polycentric Spatial Development-Measures, Explanations, Performance.
Polycentric Spatial Development-Measures, Explanations, Performance.
Li, Wenzheng.City and Regional Planning. | Cornell University. | 2024
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6
Exploring Space: Examining Spatial Cognitive Processes Recruited by Students and Teachers in Naturalistic Social Interaction Throughout a Summer Elementary School Engineering Unit.
Exploring Space: Examining Spatial Cognitive Processes Recruited by Students and Teachers in Naturalistic Social Interaction Throughout a Summer Elementary School Engineering Unit.
Valerie, Jesslyn.Educational Psychology. | University of Minnesota. | 2024
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7
A Light Stung the Darkness: Spatiality and Acoustics as Compositional Strategies.
A Light Stung the Darkness: Spatiality and Acoustics as Compositional Strategies.
Daglik, Engin. | Stanford University. | 2024
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8
Spatial-Temporal Traffic Flow Recovery and Prediction in Large-Scale Urban Transportation Networks.
Spatial-Temporal Traffic Flow Recovery and Prediction in Large-Scale Urban Transportation Networks.
Fu, Sicheng.Civil & Environmental Engr. | The University of Wisconsin - Madison. | 2024
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9
Statistical Methods for the Study of Effect Modification and Spatial Causal Inference: Theory and Applications.
Statistical Methods for the Study of Effect Modification and Spatial Causal Inference: Theory and Applications.
Cohn, Eric R.Biostatistics. | Harvard University. | 2024
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10
Machine Learning Methods for the Analysis of Multi-Modal Spatial Omics Data.
Machine Learning Methods for the Analysis of Multi-Modal Spatial Omics Data.
Coleman, Kyle.Statistics and Data Science. | University of Pennsylvania. | 2024
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