GIScience 2021 Short Paper Proceedings
Parent: Center for Spatial Studies
eScholarship stats: History by Item for September through December, 2024
| Item | Title | Total requests | 2024-12 | 2024-11 | 2024-10 | 2024-09 |
|---|---|---|---|---|---|---|
| 0kb4z5hq | Embodied digital twins of forest environments | 63 | 15 | 13 | 15 | 20 |
| 60v7597c | Assessing Correlation Between Night-Time Light and Road Infrastructure: An Empirical Study | 59 | 13 | 9 | 20 | 17 |
| 7km7x3w1 | The influence of landmark visualization style on expert wayfinders' visual attention during a real-world navigation task | 58 | 15 | 10 | 14 | 19 |
| 9vv6j0m9 | Integrating XAI and GeoAI | 54 | 11 | 19 | 13 | 11 |
| 9cs309kd | Geo-Event Question Answering Systems: A Preliminary Research Study | 52 | 13 | 10 | 14 | 15 |
| 6q03b36x | Generalizing the Simple Linear Iterative Clustering (SLIC) superpixels | 45 | 17 | 8 | 13 | 7 |
| 62s7n79k | Geographically weighted regression for compositional data: An application to the U.S. household income compositions | 43 | 7 | 12 | 17 | 7 |
| 0kd9q103 | MapSpace: POI-based Multi-Scale Global Land Use Modeling | 39 | 9 | 5 | 12 | 13 |
| 41t46420 | Multiscale Geographically Weighted Discriminant Analysis | 38 | 17 | 4 | 10 | 7 |
| 8kg664zg | Stable geographically weighted Poisson regression for count data | 37 | 9 | 9 | 13 | 6 |
| 6tt8j58m | Varying salience in indoor landmark selection for familiar and unfamiliar wayfinders: evidence from machine learning and self-reports | 35 | 8 | 11 | 12 | 4 |
| 4bp4q4z3 | Testing Landmark Salience Prediction in Indoor Environments Based on Visual Information | 31 | 8 | 10 | 8 | 5 |
| 5dj756b5 | Simulating changing traffic flow caused by new bus route in Augsburg | 31 | 6 | 9 | 9 | 7 |
| 88c5p28w | A network for simulating pre-colonial migration in the Americas | 31 | 5 | 3 | 12 | 11 |
| 5016t2k9 | A novel method for mapping spatiotemporal structure of mobility patterns during the COVID-19 pandemic | 29 | 12 | 2 | 9 | 6 |
| 59t385np | Specifying multi-scale spatial heterogeneity in the rental housing market: The case of the Tokyo metropolitan area | 29 | 5 | 9 | 11 | 4 |
| 8dc7t93b | Understanding the use of greenspace before and during the COVID-19 pandemic by using mobile phone app data | 27 | 9 | 3 | 10 | 5 |
| 0x82c21d | Agent-based Line-of-Sight Simulation for safer Crossings | 26 | 4 | 3 | 11 | 8 |
| 89h883x4 | Improving pedestrians' spatial learning during landmark-based navigation with auditory emotional cues and narrative | 25 | 11 | 3 | 9 | 2 |
| 8t51k45t | Measuring Polycentricity: A Whole Graph Embedding Perspective | 25 | 6 | 3 | 9 | 7 |
| 1690j3zc | Examining geographical generalisation of machine learning models in urban analytics through street frontage classification and house price regression | 21 | 5 | 4 | 7 | 5 |
| 3wz9104b | The Virtual Reality of GIScience | 21 | 5 | 4 | 9 | 3 |
| 4575267v | Eco-friendly Routing based on real-time Air-quality Sensor Data from Vehicles | 21 | 6 | 4 | 8 | 3 |
| 4c09g6wt | Anonymization via Clustering of Locations in Road Networks | 20 | 2 | 2 | 10 | 6 |
| 4xj1008p | An Individual-Centered Approach for Geodemographic Classification | 18 | 7 | 5 | 4 | 2 |
| 5zt0p1ft | Urban Data Science for Sustainable Transport Policies in Emerging Economies | 18 | 5 | 3 | 8 | 2 |
| 3376341d | Segmentation of point-based geographic space | 17 | 2 | 3 | 7 | 5 |
| 4bs0z3mc | GIScience in Poland – Research, Education, Community | 17 | 5 | 5 | 4 | 3 |
| 65t7h04k | Spatio-temporal variability in Wikipedia content: The case of Greater London | 17 | 5 | 4 | 7 | 1 |
| 9pc4j56s | A pattern-based approach to analysis and visualization of spatio-racial distribution | 15 | 4 | 3 | 8 | |
| 4n31h85w | Spatially-explicit forecasting of racial change | 10 | 3 | 2 | 5 |
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