GIScience 2021 Short Paper Proceedings
Parent: Center for Spatial Studies
eScholarship stats: Breakdown by Item for April through July, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 60v7597c | Assessing Correlation Between Night-Time Light and Road Infrastructure: An Empirical Study | 95 | 38 | 57 | 40.0% |
| 7km7x3w1 | The influence of landmark visualization style on expert wayfinders' visual attention during a real-world navigation task | 77 | 19 | 58 | 24.7% |
| 9vv6j0m9 | Integrating XAI and GeoAI | 72 | 16 | 56 | 22.2% |
| 8kg664zg | Stable geographically weighted Poisson regression for count data | 68 | 25 | 43 | 36.8% |
| 0kb4z5hq | Embodied digital twins of forest environments | 60 | 24 | 36 | 40.0% |
| 41t46420 | Multiscale Geographically Weighted Discriminant Analysis | 53 | 10 | 43 | 18.9% |
| 6q03b36x | Generalizing the Simple Linear Iterative Clustering (SLIC) superpixels | 50 | 22 | 28 | 44.0% |
| 0kd9q103 | MapSpace: POI-based Multi-Scale Global Land Use Modeling | 44 | 7 | 37 | 15.9% |
| 6tt8j58m | Varying salience in indoor landmark selection for familiar and unfamiliar wayfinders: evidence from machine learning and self-reports | 41 | 7 | 34 | 17.1% |
| 89h883x4 | Improving pedestrians' spatial learning during landmark-based navigation with auditory emotional cues and narrative | 40 | 19 | 21 | 47.5% |
| 5zt0p1ft | Urban Data Science for Sustainable Transport Policies in Emerging Economies | 39 | 14 | 25 | 35.9% |
| 1690j3zc | Examining geographical generalisation of machine learning models in urban analytics through street frontage classification and house price regression | 37 | 6 | 31 | 16.2% |
| 4c09g6wt | Anonymization via Clustering of Locations in Road Networks | 37 | 9 | 28 | 24.3% |
| 88c5p28w | A network for simulating pre-colonial migration in the Americas | 36 | 12 | 24 | 33.3% |
| 3376341d | Segmentation of point-based geographic space | 34 | 12 | 22 | 35.3% |
| 59t385np | Specifying multi-scale spatial heterogeneity in the rental housing market: The case of the Tokyo metropolitan area | 34 | 14 | 20 | 41.2% |
| 62s7n79k | Geographically weighted regression for compositional data: An application to the U.S. household income compositions | 34 | 16 | 18 | 47.1% |
| 5016t2k9 | A novel method for mapping spatiotemporal structure of mobility patterns during the COVID-19 pandemic | 33 | 10 | 23 | 30.3% |
| 8t51k45t | Measuring Polycentricity: A Whole Graph Embedding Perspective | 32 | 7 | 25 | 21.9% |
| 4575267v | Eco-friendly Routing based on real-time Air-quality Sensor Data from Vehicles | 31 | 13 | 18 | 41.9% |
| 0x82c21d | Agent-based Line-of-Sight Simulation for safer Crossings | 30 | 11 | 19 | 36.7% |
| 9cs309kd | Geo-Event Question Answering Systems: A Preliminary Research Study | 30 | 9 | 21 | 30.0% |
| 3wz9104b | The Virtual Reality of GIScience | 29 | 11 | 18 | 37.9% |
| 4xj1008p | An Individual-Centered Approach for Geodemographic Classification | 28 | 10 | 18 | 35.7% |
| 5dj756b5 | Simulating changing traffic flow caused by new bus route in Augsburg | 28 | 10 | 18 | 35.7% |
| 8dc7t93b | Understanding the use of greenspace before and during the COVID-19 pandemic by using mobile phone app data | 27 | 9 | 18 | 33.3% |
| 65t7h04k | Spatio-temporal variability in Wikipedia content: The case of Greater London | 26 | 3 | 23 | 11.5% |
| 4bp4q4z3 | Testing Landmark Salience Prediction in Indoor Environments Based on Visual Information | 24 | 9 | 15 | 37.5% |
| 4bs0z3mc | GIScience in Poland – Research, Education, Community | 23 | 5 | 18 | 21.7% |
| 9pc4j56s | A pattern-based approach to analysis and visualization of spatio-racial distribution | 22 | 5 | 17 | 22.7% |
| 4n31h85w | Spatially-explicit forecasting of racial change | 18 | 2 | 16 | 11.1% |
Disclaimer: due to the evolving nature of the web traffic we receive and the methods we use to collate it, the data presented here should be considered approximate and subject to revision.