International Conference on GIScience Short Paper Proceedings
Parent: Department of Geography
eScholarship stats: Breakdown by Item for March through June, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 8ff033ht | An Ontological Analysis of Water Features | 99 | 7 | 92 | 7.1% |
| 4hp830d6 | Outlier Detection in OpenStreetMap Data using the Random Forest Algorithm | 98 | 5 | 93 | 5.1% |
| 8nh5943s | Scalability in Participatory Planning: A comparison of online PPGIS methods with faceto- face meetings | 92 | 4 | 88 | 4.3% |
| 9z90g3zd | A Function-based model of Place | 74 | 10 | 64 | 13.5% |
| 1b9432ds | What are the Probabilities of Land-Use Transitions? The Answer Depends on the Classification Method | 73 | 3 | 70 | 4.1% |
| 71h533kp | Fast Computation of Continental-Sized Isochrones | 73 | 2 | 71 | 2.7% |
| 6x0199bg | Location Optimization of Fire Stations: Trade-off between Accessibility and Service Coverage | 72 | 3 | 69 | 4.2% |
| 1g87v8dg | Refugee Spatial Awareness: Evidence from Za’atari | 61 | 2 | 59 | 3.3% |
| 54n7c1z2 | Deriving Hospital Catchment Areas from Mobile Phone Data | 58 | 16 | 42 | 27.6% |
| 0dk1t0vc | TerraEx – a GeoWeb app for world-wide content-based search and distribution of elevation and landforms data | 57 | 2 | 55 | 3.5% |
| 67f0678p | Can we use OpenStreetMap POIs for the Evaluation of Urban Accessibility? | 57 | 9 | 48 | 15.8% |
| 6mg271rn | A 3D Virtual Environment for Spatio-Temporal Analysis: Theoretical Approach, Proof of Concept, and User Study | 57 | 6 | 51 | 10.5% |
| 8kv3n3bq | Semi-parametric Geographically Weighted Regression (S-GWR): a Case Study on Invasive Plant Species Distribution in Subtropical Nepal | 57 | 13 | 44 | 22.8% |
| 7gc866qs | Time-Geography in Four Dimensions: Potential Path Volumes around 3D Trajectories | 56 | 2 | 54 | 3.6% |
| 8ng293vd | A Principal Curve-based method for Geospatial Data Smoothing | 56 | 5 | 51 | 8.9% |
| 0080r0n8 | Which Kobani? A Case Study on the Role of Spatial Statistics and Semantics for Coreference Resolution Across Gazetteers | 55 | 11 | 44 | 20.0% |
| 0cq8c6dd | Understanding spatial patterns of biodiversity: How sensitive is phylogenetic endemism to the randomisation model? | 51 | 6 | 45 | 11.8% |
| 8cz973mw | Semantically Refining the Groundwater Markup Language (GWML2) with the Help of a Reference Ontology | 51 | 13 | 38 | 25.5% |
| 5bp4f7gj | Comparing Geospatial Ontologies with Indigenous Conceptualizations of Time | 50 | 14 | 36 | 28.0% |
| 01b1r10h | Multi-Scale Extraction of Regular Activity Patterns in Spatio-Temporal Events Databases: A Study Using Geolocated Tweets from Central Mexico | 49 | 15 | 34 | 30.6% |
| 04b2d8xp | Identifying Local Spatiotemporal Autocorrelation Patterns of Taxi Pick-ups and Dropoffs | 48 | 11 | 37 | 22.9% |
| 94g0c634 | An Algorithm for Empirically Informed Random Trajectory Generation Between Two Endpoints | 48 | 7 | 41 | 14.6% |
| 9hf8b2wb | A Dasymetric-Based Monte Carlo Simulation Approach to the Probabilistic Analysis of Spatial Variables | 47 | 3 | 44 | 6.4% |
| 1gr5f2c6 | Geospatial Internet of Things: Framework for fugitive Methane Gas Leaks Monitoring | 46 | 11 | 35 | 23.9% |
| 2913r4x8 | A spatial mixture model to account for risk discontinuities: Analyzing attempted suicide in Waterloo Region, Ontario | 46 | 11 | 35 | 23.9% |
| 4zk9g37h | Uber vs. Taxis: Event detection and differentiation in New York City | 45 | 8 | 37 | 17.8% |
| 5h00g1xs | Spatial Preposition Use in Indoor Scene Descriptions | 45 | 8 | 37 | 17.8% |
| 8jd35618 | Retrieving Indigenous Knowledge to a Digital Map: the Case of the Traditional Farming System in a Hñahñu (Otomí) Community, Mexico | 45 | 5 | 40 | 11.1% |
| 0qh4t98s | Local variation in hedonic house pricing in Hanoi, Vietnam: a spatial analysis of status quality trade-off (SQTO) theory | 44 | 7 | 37 | 15.9% |
| 5640633b | Extracting Accurate Building Information from Off-Nadir VHR Images | 44 | 9 | 35 | 20.5% |
| 5hp8t2q3 | Spatializing Global Urban Extent: A Source Driven Approach | 44 | 7 | 37 | 15.9% |
| 971896bp | Curating Transient Population in Urban Dynamics System | 44 | 2 | 42 | 4.5% |
| 8mf4r9rw | A Density-Based Spatial Flow Cluster Detection Method | 43 | 14 | 29 | 32.6% |
| 6z0905hw | A Multidirectional Optimal Ecotope-Based Algorithm to Delineate a Commuter Shed | 42 | 8 | 34 | 19.0% |
| 0fn9v0q8 | Assessing Spatiotemporal Agreement between Multi-Temporal Built-up Land Layers and Integrated Cadastral and Building Data | 41 | 5 | 36 | 12.2% |
| 1wx3m2cd | Land Use Regression of Particulate Matter in Calgary, Canada | 41 | 10 | 31 | 24.4% |
| 4824r3wg | Hybrid Indexing for Parallel Analysis of Spatiotemporal Point Patterns | 41 | 4 | 37 | 9.8% |
| 4b58k9tp | Pedestrian Navigation Aids, Spatial Knowledge and Walkability | 41 | 9 | 32 | 22.0% |
| 4z30b09d | Space-Time Topological Graphs | 41 | 4 | 37 | 9.8% |
| 5sc537n4 | A moan, a discursion into the visualisation of very large spatial data and some rubrics for identifying big questions | 39 | 2 | 37 | 5.1% |
| 9v31f3m8 | Multi-resolution, pattern-based segmentation of very large raster datasets | 39 | 5 | 34 | 12.8% |
| 3hc8k3js | Walk and Learn: An Empirical Framework for Assessing Spatial Knowledge Acquisition during Mobile Map Use | 38 | 4 | 34 | 10.5% |
| 5w54k25v | Using dynamic geospatial ontologies to support information extraction from big Earth observation data sets | 38 | 4 | 34 | 10.5% |
| 729295dw | Spatiotemporal enabled Content-based Image Retrieval | 38 | 9 | 29 | 23.7% |
| 18t7k513 | The Encyclopedia Gallica of Events - or Why Geographic Information Science Is Not Like Physics | 37 | 8 | 29 | 21.6% |
| 2f13v6vw | A Regional Approach for Modeling Dog Cancer Incidences with Regard to Different Reporting Practices | 37 | 7 | 30 | 18.9% |
| 9fs8s68v | Accessing Distributed WFS Data Through A RDF Query Interface | 37 | 4 | 33 | 10.8% |
| 6q03211q | Shape and resolution: quantifying feature morphology change due to coarsening spatial resolution using UAV-based images from vertical transects | 36 | 5 | 31 | 13.9% |
| 8n57h6zv | Understanding the Mapping Sequence of Online Volunteers in Disaster Response | 36 | 4 | 32 | 11.1% |
| 8nq409qz | Searching for common ground (again) | 36 | 5 | 31 | 13.9% |
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.