Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Spatial analysis (2)
- 3D data standard (1)
- Area-based analysis (1)
- Building floor area (1)
- Co-design (1)
-
- Co-occurrence graphs (1)
- Crime hotspots (1)
- Cultural routes (1)
- Data quality (1)
- Data quality measure (1)
- Deep maps (1)
- European Union (1)
- Fitness for purpose (1)
- GIS (1)
- GPS tracking (1)
- GWR (1)
- Geographically weighted regression (1)
- Geographically-weighted statistics (1)
- Geography (1)
- Georeferencing (1)
- Geovisualization (1)
- Grounding (1)
- Instagram (1)
- Interfaces (1)
- Knowledge organization system (KOS) (1)
- LASSO (1)
- Land Use Change (1)
- Learning (1)
- Least-cost path analysis (1)
- Loess Plateau (1)
Articles 1 - 13 of 13
Full-Text Articles in Social and Behavioral Sciences
Considering The Non-Programming Geographer's Perspective When Designing Extracurricular Introductory Computer Programming Workshops, Thomas R Etherington
Considering The Non-Programming Geographer's Perspective When Designing Extracurricular Introductory Computer Programming Workshops, Thomas R Etherington
Journal of Spatial Information Science
Computer programming is becoming an increasingly important scientific skill, but geographers are not necessarily receiving this training as part of their formal education. While there are efforts to promote and support extracurricular introductory computer programming workshops, there remain questions about how best to deliver these workshops. Therefore, as part of a recent introductory programming extracurricular workshop I organized for non-programing geographers, I tried to understand more about their perceptions of computer programming. I identify that one of the most important aspects for geographers to learn to computer program is to have training that is domain specific to ensure that the …
Towards Harmonizing Property Measurement Standards, Abdullah Kara, Volkan Çağdaş, Ümit Işıkdağ, Bülent Onur Turan
Towards Harmonizing Property Measurement Standards, Abdullah Kara, Volkan Çağdaş, Ümit Işıkdağ, Bülent Onur Turan
Journal of Spatial Information Science
Area and volume values of buildings and building parts have been used in many applications including taxation, valuation and land use planning. Many countries maintain a national standard for representing the measurements of floor areas in buildings. The national standards generally use similar basis for measuring building floor areas, in fact, areas specified in national standards often have semantic differences. Therefore, a number of international standards have been developed for harmonizing floor area measurements; however, they also have differences. This study aims at harmonizing the floor areas defined in the international property measurement standards by revealing the semantic relations between …
Bridging Space, Time, And Semantics In Giscience, Margarita Kokla, Eric Guilbert, Mir Abolfazl Mostafavi
Bridging Space, Time, And Semantics In Giscience, Margarita Kokla, Eric Guilbert, Mir Abolfazl Mostafavi
Journal of Spatial Information Science
No abstract provided.
Hyper-Local Geographically Weighted Regression: Extending Gwr Through Local Model Selection And Local Bandwidth Optimization, Alexis Comber, Yunqiang Wang, Yihe Lü, Xingchang Zhang, Paul Harris
Hyper-Local Geographically Weighted Regression: Extending Gwr Through Local Model Selection And Local Bandwidth Optimization, Alexis Comber, Yunqiang Wang, Yihe Lü, Xingchang Zhang, Paul Harris
Journal of Spatial Information Science
Geographically weighted regression (GWR) is an inherently exploratory technique for examining process non-stationarity in data relationships. This paper develops and applies a hyper-local GWR which extends such investigations further. The hyper-local GWR simultaneously optimizes both local model selection (which covariates to include in each local regression) and local kernel bandwidth specification (how much data should be included locally). These are evaluated using a measure of model fit. The hyper-local GWR approach evaluates different kernel bandwidths at each location and selects the most parsimonious local regression model. By allowing models and bandwidths to vary locally, this approach extends and refines the …
Georeferencing Places From Collective Human Descriptions Using Place Graphs, Hao Chen, Stephan Winter, Maria Vasardani
Georeferencing Places From Collective Human Descriptions Using Place Graphs, Hao Chen, Stephan Winter, Maria Vasardani
Journal of Spatial Information Science
Place descriptions in everyday communication or in online text provide a rich source of spatial knowledge about places. Such descriptions typically consist of references to places and spatial relationships between them. An important step to utilize such knowledge in information systems is georeferencing the referred places. Beside place name disambiguation, another challenge is that a significant proportion of place references in such descriptions are not official place names indexed by gazetteers, thus cannot be resolved easily. This paper presents a novel approach for georeferencing places from collective descriptions using place graphs, regardless of whether they are referred to by gazetteered …
Towards Place-Based Exploration Of Instagram: Using Co-Design To Develop An Interdisciplinary Geovisualization Prototype, Catherine Emma Jones, Daniele Guido, Marta Severo
Towards Place-Based Exploration Of Instagram: Using Co-Design To Develop An Interdisciplinary Geovisualization Prototype, Catherine Emma Jones, Daniele Guido, Marta Severo
Journal of Spatial Information Science
An abundance of geographic information is hidden within texts and multimedia objects that has the potential to enrich our knowledge about the relationship between people and places. One such example is the geographic information embedded within user-generated content collected and curated by the social media giants. Such geographic data can be encoded either explicitly as geotags or implicitly as geographical references expressed as texts that comprise part of a title or image caption. To use such data for knowledge building there is a need for new mapping interfaces. These interfaces should support both data integration and visualization, and geographical exploration …
Using Mobility Data As Proxy For Measuring Urban Vitality, Patrizia Sulis, Ed Manley, Chen Zhong, Michael Batty
Using Mobility Data As Proxy For Measuring Urban Vitality, Patrizia Sulis, Ed Manley, Chen Zhong, Michael Batty
Journal of Spatial Information Science
In this paper, we propose a computational approach to Jane Jacobs' concept of diversity and vitality, analyzing new forms of spatial data to obtain quantitative measurements of urban qualities frequently employed to evaluate places. We use smart card data collected from public transport to calculate a diversity value for each research unit. Diversity is composed of three dynamic attributes: intensity, variability, and consistency, each measuring different temporal variations of mobility flows. We then apply a regression model to establish the relationship between diversity and vitality, using Twitter data as a proxy for human activity in urban space. Final results (also …
Locally-Varying Explanations Behind The United Kingdom's Vote To Leave The European Union, Roger Beecham, Aidan Slingsby, Chris Brunsdon
Locally-Varying Explanations Behind The United Kingdom's Vote To Leave The European Union, Roger Beecham, Aidan Slingsby, Chris Brunsdon
Journal of Spatial Information Science
Explanations behind area-based (Local Authority-level) voting preference in the 2016 referendum on membership of the European Union are explored using aggregate-level data. Developing local models, special attention is paid to whether variables explain the vote equally well across the country. Variables describing the post-industrial and economic "successfulness" of Local Authorities most strongly discriminate variation in the vote. To a lesser extent this is the case for variables linked to "metropolitan" and "big city" contexts, which assist the Remain vote, those that distinguish more traditional and "nativist" values, assisting Leave, and those loosely describing material outcomes, again reinforcing Leave. Whilst variables …
Modeling Movement Probabilities Within Heterogeneous Spatial Fields, Jed A. Long
Modeling Movement Probabilities Within Heterogeneous Spatial Fields, Jed A. Long
Journal of Spatial Information Science
Recent efforts have focused on modeling the internal structure of space-time prisms to estimate the unequal movement opportunities within. This paper further develops this area of research by formulating a model for field-based time geography that can be used to probabilistically model movement opportunities conditioned on underlying heterogeneous spatial fields. The development of field-based time geography draws heavily on well-established methods for cost-distance analysis, common to most GIS software packages. The field-based time geographic model is compared with two alternative approaches that are commonly employed to estimate probabilistic space-time prisms - (truncated) Brownian bridges and time geographic kernel density estimation. …
Determining The Optimal Spatial And Temporal Thresholds That Maximize The Predictive Accuracy Of The Prospective Space-Time Scan Statistic (Pstss) Hotspot Method, Monsuru Adepeju, Andrew Evans
Determining The Optimal Spatial And Temporal Thresholds That Maximize The Predictive Accuracy Of The Prospective Space-Time Scan Statistic (Pstss) Hotspot Method, Monsuru Adepeju, Andrew Evans
Journal of Spatial Information Science
The spatial and temporal thresholds (K and T) are two key parameters that control the performance of the prospective space-time scan statistical (PSTSS) hotspot method. This study proposes an objective function approach, in which the optimal values of K and T that maximize the mean hit rate (a measure of predictive accuracy), are determined. The proposed approach involves sweeping through a range of values defined for each parameter and monitors their impacts on the mean hit rate. A case study of the crime data sets of the South Chicago area is presented in which 100 one-day consecutive predictions are carried …
25 Years Of Gisruk, Jonny Huck
25 Years Of Gisruk, Jonny Huck
Journal of Spatial Information Science
Special Feature Editorial
Parameter-Free Aggregation Of Value Functions From Multiple Experts And Uncertainty Assessment In Multi-Criteria Evaluation, Benjamin Rohrbach, Robert Weibel, Patrick Laube
Parameter-Free Aggregation Of Value Functions From Multiple Experts And Uncertainty Assessment In Multi-Criteria Evaluation, Benjamin Rohrbach, Robert Weibel, Patrick Laube
Journal of Spatial Information Science
This paper makes a threefold contribution to spatial multi-criteria evaluation (MCE): firstly by presenting a new method concerning value functions, secondly by comparing different approaches to assess the uncertainty of a MCE outcome, and thirdly by presenting a case-study on land-use change. Even though MCE is a well-known methodology in GIScience, there is a lack of practicable approaches to incorporate the potentially diverse views of multiple experts in defining and standardizing the values used to implement input criteria. We propose a new method that allows generating and aggregating non-monotonic value functions, integrating the views of multiple experts. The new approach …
A Grounding-Based Ontology Of Data Quality Measures, Franz-Benjamin Mocnik, Amin Mobasheri, Luisa Griesbaum, Melanie Eckle, Clemens Jacobs, Carolin Klonner
A Grounding-Based Ontology Of Data Quality Measures, Franz-Benjamin Mocnik, Amin Mobasheri, Luisa Griesbaum, Melanie Eckle, Clemens Jacobs, Carolin Klonner
Journal of Spatial Information Science
Data quality and fitness for purpose can be assessed by data quality measures. Existing ontologies of data quality dimensions reflect, among others, which aspects of data quality are assessed and the mechanisms that lead to poor data quality. An understanding of which source of information is used to judge about data quality and fitness for purpose is, however, lacking. This article introduces an ontology of data quality measures by their grounding, that is, the source of information to which the data is compared to in order to assess their quality. The ontology is exemplified with several examples of volunteered geographic …