International Conference on GIScience Short Paper Proceedings
Parent: Department of Geography
eScholarship stats: Breakdown by Item for June through September, 2026
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 67f0678p | Can we use OpenStreetMap POIs for the Evaluation of Urban Accessibility? | 224 | 84 | 140 | 37.5% |
| 7gc866qs | Time-Geography in Four Dimensions: Potential Path Volumes around 3D Trajectories | 204 | 27 | 177 | 13.2% |
| 729295dw | Spatiotemporal enabled Content-based Image Retrieval | 172 | 116 | 56 | 67.4% |
| 5w54k25v | Using dynamic geospatial ontologies to support information extraction from big Earth observation data sets | 141 | 23 | 118 | 16.3% |
| 04b2d8xp | Identifying Local Spatiotemporal Autocorrelation Patterns of Taxi Pick-ups and Dropoffs | 134 | 58 | 76 | 43.3% |
| 71h533kp | Fast Computation of Continental-Sized Isochrones | 133 | 21 | 112 | 15.8% |
| 4hp830d6 | Outlier Detection in OpenStreetMap Data using the Random Forest Algorithm | 132 | 32 | 100 | 24.2% |
| 9fs8s68v | Accessing Distributed WFS Data Through A RDF Query Interface | 124 | 40 | 84 | 32.3% |
| 0wf6w9p9 | Tweet Geolocation Error Estimation | 123 | 28 | 95 | 22.8% |
| 9z90g3zd | A Function-based model of Place | 122 | 36 | 86 | 29.5% |
| 1jb92687 | Using GPS-enabled mobile phones to characterize individuals’ activity patterns for epidemiology applications | 119 | 45 | 74 | 37.8% |
| 0cq8c6dd | Understanding spatial patterns of biodiversity: How sensitive is phylogenetic endemism to the randomisation model? | 118 | 24 | 94 | 20.3% |
| 0tn5s4v9 | Deriving Locational Reference through Implicit Information Retrieval | 117 | 32 | 85 | 27.4% |
| 6x0199bg | Location Optimization of Fire Stations: Trade-off between Accessibility and Service Coverage | 116 | 30 | 86 | 25.9% |
| 8jd35618 | Retrieving Indigenous Knowledge to a Digital Map: the Case of the Traditional Farming System in a Hñahñu (Otomí) Community, Mexico | 116 | 26 | 90 | 22.4% |
| 8rh987cz | Measuring Distance “As the Horse Runs”: Cross-Scale Comparison of Terrain-Based Metrics | 107 | 24 | 83 | 22.4% |
| 0080r0n8 | Which Kobani? A Case Study on the Role of Spatial Statistics and Semantics for Coreference Resolution Across Gazetteers | 106 | 51 | 55 | 48.1% |
| 0fn9v0q8 | Assessing Spatiotemporal Agreement between Multi-Temporal Built-up Land Layers and Integrated Cadastral and Building Data | 105 | 42 | 63 | 40.0% |
| 3hc8k3js | Walk and Learn: An Empirical Framework for Assessing Spatial Knowledge Acquisition during Mobile Map Use | 104 | 29 | 75 | 27.9% |
| 4kv536qq | A novel method for probabilistic coverage estimation of sensor networks based on 3D vector representation in complex urban environments | 104 | 32 | 72 | 30.8% |
| 4z30b09d | Space-Time Topological Graphs | 104 | 24 | 80 | 23.1% |
| 9hf8b2wb | A Dasymetric-Based Monte Carlo Simulation Approach to the Probabilistic Analysis of Spatial Variables | 104 | 27 | 77 | 26.0% |
| 4b58k9tp | Pedestrian Navigation Aids, Spatial Knowledge and Walkability | 102 | 34 | 68 | 33.3% |
| 1b9432ds | What are the Probabilities of Land-Use Transitions? The Answer Depends on the Classification Method | 101 | 35 | 66 | 34.7% |
| 1g87v8dg | Refugee Spatial Awareness: Evidence from Za’atari | 100 | 34 | 66 | 34.0% |
| 4dw721gn | Machine Learning on Spark for the Optimal IDW-based Spatiotemporal Interpolation | 100 | 13 | 87 | 13.0% |
| 0dk1t0vc | TerraEx – a GeoWeb app for world-wide content-based search and distribution of elevation and landforms data | 99 | 32 | 67 | 32.3% |
| 8nq409qz | Searching for common ground (again) | 99 | 25 | 74 | 25.3% |
| 0qh4t98s | Local variation in hedonic house pricing in Hanoi, Vietnam: a spatial analysis of status quality trade-off (SQTO) theory | 98 | 27 | 71 | 27.6% |
| 5wt35578 | Crowd-sorting: reducing bias in decision making through consensus generated crowdsourced spatial information | 98 | 22 | 76 | 22.4% |
| 94g0c634 | An Algorithm for Empirically Informed Random Trajectory Generation Between Two Endpoints | 97 | 31 | 66 | 32.0% |
| 46p8p31g | The Life Cycle of Volunteered Geographic Information (VGI) Contributors: the OpenStreetMap Example | 96 | 24 | 72 | 25.0% |
| 8cz973mw | Semantically Refining the Groundwater Markup Language (GWML2) with the Help of a Reference Ontology | 96 | 44 | 52 | 45.8% |
| 5vm764rp | Constructing a Routable Transit Network from a Real-time Vehicle Location Feed | 95 | 35 | 60 | 36.8% |
| 2993d46s | A comparative study of existing multi-scale maps: what content at which scale? | 94 | 51 | 43 | 54.3% |
| 3ht0m7hh | A Field-Based Time Geography for Wildlife Movement Analysis | 94 | 30 | 64 | 31.9% |
| 6928w12f | The Cognitive Aspect of Place Properties | 94 | 24 | 70 | 25.5% |
| 5hc4d2q6 | Characterizing Volunteered Geographic Information using Fuzzy Clustering | 92 | 28 | 64 | 30.4% |
| 8kv3n3bq | Semi-parametric Geographically Weighted Regression (S-GWR): a Case Study on Invasive Plant Species Distribution in Subtropical Nepal | 92 | 31 | 61 | 33.7% |
| 8nh5943s | Scalability in Participatory Planning: A comparison of online PPGIS methods with faceto- face meetings | 92 | 21 | 71 | 22.8% |
| 76z9g4vb | Deserts in the Deluge: TerraPopulus and Big Human-Environment Data | 90 | 25 | 65 | 27.8% |
| 26q142pp | The Role of Space in Remote Collaborations: An Exploration of Immersive Technology Attributes on Co-presence and Team Membership | 89 | 34 | 55 | 38.2% |
| 5854c2jv | High resolution, multi-year compatible dasymetric models of US population | 89 | 32 | 57 | 36.0% |
| 1gr5f2c6 | Geospatial Internet of Things: Framework for fugitive Methane Gas Leaks Monitoring | 88 | 25 | 63 | 28.4% |
| 5bp4f7gj | Comparing Geospatial Ontologies with Indigenous Conceptualizations of Time | 88 | 32 | 56 | 36.4% |
| 971896bp | Curating Transient Population in Urban Dynamics System | 88 | 25 | 63 | 28.4% |
| 5640633b | Extracting Accurate Building Information from Off-Nadir VHR Images | 87 | 24 | 63 | 27.6% |
| 8n57h6zv | Understanding the Mapping Sequence of Online Volunteers in Disaster Response | 87 | 32 | 55 | 36.8% |
| 1bw2c801 | Characterizing place: an empirical comparison between user-generated content and freelisting data | 84 | 37 | 47 | 44.0% |
| 6dd1m0j2 | Stress Supports Spatial Knowledge Acquisition during Wayfinding with Mobile Maps | 84 | 29 | 55 | 34.5% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.