Social and Behavioral Sciences Commons^™

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

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

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

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

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

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 …

Minerva 2018, The Honors College

Minerva

This issue of Minerva includes an article on the Honors Endeavor by recently retired faculty member, David Gross; an adaptation of Isaac Record's 2018 Distinguished Honors Graduate lecture; an article on 2018 Honors Read Just Mercy; and a wonderful farewell to beloved Honors College Administrative Specialist, Deb Small. Other highlights include a reflection by CLAS-Honors preceptor of philosophy, Hao Hong; and a look into 2018-2019 student thesis research.

Three-Dimensional Bedrock Channel Evolution With Smoothed Particle Hydrodynamics, Nick Richmond

Electronic Theses and Dissertations

Bedrock channels are responsible for balancing and communicating tectonic and climatic signals across landscapes, but it is difficult and dangerous to observe and measure the flows responsible for removing weakly-attached blocks of bedrock from the channel boundary. Consequently, quantitative descriptions of the dynamics of bedrock removal are scarce. Detailed numerical simulation of violent flows in three dimensions has been historically challenging due to technological limitations, but advances in computational fluid dynamics aided by high-performance computing have made it practical to generate approximate solutions to the governing equations of fluid dynamics. From these numerical solutions we gain detailed knowledge of the …

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

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

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

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

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

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

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 …

Immersed In Fire: The Use Of Virtual Reality As An Attitude Assessor And Boundary Object In Wildland Fire Management, Casey Olechnowicz

Electronic Theses and Dissertations

Interest in using prescribed burning as a forest management tool to promote forest health and regeneration is growing in Maine. The goal for this research was to better understand the way that the public perceives prescribed burning practices in wildland-urban interfaces, with an emphasis placed on how immersive imagery, closely related to virtual reality (VR), compares to traditional communication methods. We specifically focus on the social acceptability of prescribed burning and analyze how the level of immersive imagery is related to that acceptability (Ahn, 2015; Bricken, 1990; Fogg, Cuellar, and Danielson, 2009; Smith 2015; Wiederhold, Davis, and Wiederhold, 1998). The …

Utilizing Ground-Penetrating Radar In The Delineation And Cultural Resource Management Of Eroding Maine Coastal Shell Middens, Jacquelynn F. Miller

Electronic Theses and Dissertations

Shell middens along the Maine coast archive up to 5000 years of cultural and climatic change, but the record is continually and rapidly lost to the sea through climate-driven coastal erosion and sea-level rise. These sites were constructed by the ancestors of Maine Tribes, and are composed of centimeters to meters of clam (Mya arenaria) and/or oyster (Crassostrea virginica) shells, other faunal remains, and cultural materials. Shell middens record human interaction with the environment and early coastal occupation and adaptation. The faunal remains reflect paleoenvironmental conditions and the distribution of extinct and extant forage-species along the western Gulf of Maine. …

Forecasting Labor Force Participation At The Regional Level In The United States: The Case Of Maine, Maryam Kashkooli

Honors College

This project attempts to investigate the future of labor force participation in Maine using an econometric forecasting approach. Forecasting has become an increasingly popular form of statistical analysis which uses historical distributions to help estimate future distributions of econometric models. There exists extensive literature on forecasting employment, however the literature on forecasting labor force participation is relatively small. I adapt existing econometric models and make use of time series information on sociodemographic factors such as age and net migration in order to determine how Maine’s changing demographic structure is affecting its labor force and how these effects will carry on …

An Analysis Of International Agreements Over Cybersecurity, Lucas Ashbaugh

Electronic Theses and Dissertations

Research into the international agreements that increase cooperation over cybersecurity challenges is severely lacking. This is a necessary next step for bridging diplomatic challenges over cybersecurity. This work aspires to be push the bounds of research into these agreements and offer a tool that future researchers can rely on. For this research I created, and made publicly available, the International Cybersecurity Cooperation Dataset (ICCD), which contains over 350 international cybersecurity agreements and pertinent metadata. Each agreement is marked per which subtopics within cybersecurity related agreements it covers. These typologies are:

• Discussion and Dialogue

• Research

• Confidence Building Measures

• Incident Response

• Crime …

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