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Which Urban Residents Vote And Why? A Geospatial Analysis Of Voting Behavior In Worcester, Ma, John D. Holbrook 2018 Salem State University

Which Urban Residents Vote And Why? A Geospatial Analysis Of Voting Behavior In Worcester, Ma, John D. Holbrook

Graduate Theses

This study investigates the relationship between voter travel distance to polling places in Worcester, MA and voter turnout. Linear and geographically-weighted regression are used to evaluate the significance of travel distance and demographic control variables. Worcester appears to be unique when compared to previous studies investigating travel distance and voter turnout. Travel distance to polling place does not reliably predict voter turnout in Worcester, but vehicle ownership, race, and age do.


The Energy Yield Of Global Crops 1961-2016, Quinn Montana 2018 University of Arkansas, Fayetteville

The Energy Yield Of Global Crops 1961-2016, Quinn Montana

Theses and Dissertations

It is often suggested that world food production must increase by 70%-100% or more by the year 2050 if we are to feed the anticipated world population at that time. To evaluate this claim, global crop production from 1961 to 2016 was inventoried using publicly available data from the United Nations Food and Agriculture Organization (FAO). To determine the adequacy of global crop output for humanity, annual global food crop production data (T y-1) were converted to energy yield in kilojoules (KJ y-1). These data were then compared to the annual metabolic energy requirement of the global human population ...


Development Of A Qgis Plugin To Dasymetric Mapping, Nelson Mileu, Margarida Queirós 2018 Universidade de Lisboa

Development Of A Qgis Plugin To Dasymetric Mapping, Nelson Mileu, Margarida Queirós

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

Demographic data is usually represented by choropleth map, where the statistical data is aggregated to areal units. This type of representation has several limitations associated with spatial analysis and distribution. A common alternative to display statistical data in meaningful spatial zones is the dasymetric mapping technique. Though dasymetric mapping has existed for many decades, the open source GIS tools to explore dasymetric mapping methods are scarce. In this paper, a Geographical Information System (GIS) open source application was developed in QGIS software that applies the dasymetric mapping method to the Portuguese Guimarães municipality 2011 Census block-group populations and using Corine ...


Crowdsourcing The Georeferencing Of Historical Pictures, Timothée Produit, Nicolas Blanc, Sarah Composto, Jens Ingensand, Loic Furhoff 2018 University of Applied Sciences and Arts Western Switzerland

Crowdsourcing The Georeferencing Of Historical Pictures, Timothée Produit, Nicolas Blanc, Sarah Composto, Jens Ingensand, Loic Furhoff

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

Countless organizations own archive pictures which are not used due to the difficulty of localizing them. Only the participation of volunteers can help to identify the image content. Through an accessible web interface called smapshot, citizens are able to georeference historical images without any prior specific competence. To avoid the volunteers to face the complexity of 3D digitization and navigation, we implemented a state of the art photogrammetry camera orientation algorithm in the platform. Currently several thousand images from all around Switzerland have been georeferenced by the crowd. At this time the tool is mainly used by the population for ...


Hydraulic Modeling For The Assessment Of Flood Hazard Using The Iber Software In The Amarante Urban Center, Márcia Martins, Alberto Gomes, Pedro Pinto Santos 2018 CEGOT, Faculdade de Letras da Universidade do Porto

Hydraulic Modeling For The Assessment Of Flood Hazard Using The Iber Software In The Amarante Urban Center, Márcia Martins, Alberto Gomes, Pedro Pinto Santos

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

Recently, there is an availability increase of hydraulic modeling software that allows the analysis and definition of several hydraulic variables, namely water depth and flow velocity, which are important parameters for the assessment and management of flood-prone areas. The growing use of this software is related with the fact of being Free and Open Source Software (FOSS), making possible the understanding of different approaches and providing most reliable and accurate results of flood-prone areas according different return periods.

In this study it was used the freely hydraulic software Iber, a tool for two-dimensional modeling of water flow in rivers and ...


Grassland Recognition With The Usage Of Thermal Weights, Alen Mangafić, Nika Mesner, Mihaela Triglav Čekada 2018 Geodetic Institute of Slovenia

Grassland Recognition With The Usage Of Thermal Weights, Alen Mangafić, Nika Mesner, Mihaela Triglav Čekada

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

In this paper we apply the usage of thermal weights, a new variable for geostatistical analysis and we present the method for their determination. In the case study we tested a data fusion between Sentinel-2 and Landsat 7/8 data, to incorporate also the thermal factor in the detection of land cover changes. The process distinguishes grasslands from other crops with similar vegetative appearance and offers us the possibility to create a new statistical sample with just grasslands. The data fusion is incorporated in the calculation of Land Surface Temperature (LSTFU) by combining the Sentinel-2 derived Normalized Difference Vegetation ...


Robust Railroad Cable Detection In Rural Areas From Mls Point Clouds, Máté Cserép, Péter Hudoba, Zoltán Vincellér 2018 Eötvös Loránd University, Hungary

Robust Railroad Cable Detection In Rural Areas From Mls Point Clouds, Máté Cserép, Péter Hudoba, Zoltán Vincellér

Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings

Monitoring of the railroad infrastructure is crucial for safety concerns and accident prevention. This task requires regular surveillance which is nowadays still carried out by expensive and time consuming manual visual inspections in many countries. The problem of railroad cable recognition (contact cables, catenary cables, return current cables) in rural areas based on LiDAR point clouds has it own methods, but current state of the art solutions suffer from extremely high computational load due the extensive size of the datasets. In this study we analyzed and compared novel robust solutions focusing on minimizing the assumptions (positions and distances of track ...


No More Hidden Secrets: Human Rights Violations And Remote Sensing, Tommy O'Connell, Stephen Young 2018 Salem State University, Department of Geography

No More Hidden Secrets: Human Rights Violations And Remote Sensing, Tommy O'Connell, Stephen Young

Stephen Young

Aim: This study used both high resolution and medium resolution satellite imagery to test three semi-automated remote sensing methods, in an attempt to identify useful tools to support eye-witness testimony and reports on human rights violations. As huts are routinely burned down during attacks on a village, particularly in Sudan, the number of huts and villages burned can be used to corroborate on-the-ground reports.

Methods: Three remote sensing methods (Supervised Classification, Change Detection, and Feature Extraction) were performed on imagery from both before the attacks in February 2006 and after the attacks to examine any useful trends that could be ...


Drone Photography Vs. Light Detection And Ranging (Lidar) Data - Which Source Is Best Utilized In 3-Dimensional Modeling Applications?, Austin Valentine 2018 Murray State University

Drone Photography Vs. Light Detection And Ranging (Lidar) Data - Which Source Is Best Utilized In 3-Dimensional Modeling Applications?, Austin Valentine

Student Scholarship & Creative Works

Drone Photography vs. Light Detection and Ranging (LiDAR) Data — Which Source is Best Utilized in 3-Dimensional Modeling Applications? is an evaluation essay comparing the analysis and modeling of both drone photography and LiDAR data. This paper gives a brief introduction into my choice of utilization between these two techniques, both of which were applied to 3-dimensional modeling of the Kincaid Mounds Archaeological site in southern Illinois. Thus, illustrating some of the advantages and disadvantages associated with both methods.


Using Mobility Data As Proxy For Measuring Urban Vitality, Patrizia Sulis, Ed Manley, Chen Zhong, Michael Batty 2018 UCL

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 2018 The University of Maine

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 2018 The University of Maine

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. Using ...


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 2018 The University of Maine

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 2018 The University of Maine

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 2018 The University of Maine

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 2018 Universität Heidelberg

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 ...


Accuracy Evaluation Of The Canadian Openstreetmap Road Networks, Hongyu Zhang, Jacek Malczewski 2018 The University of Western Ontario

Accuracy Evaluation Of The Canadian Openstreetmap Road Networks, Hongyu Zhang, Jacek Malczewski

International Journal of Geospatial and Environmental Research

Volunteered geographic information (VGI) has been applied in many fields such as participatory planning, humanitarian relief and crisis management. One of the reasons for popularity of VGI is its cost-effectiveness. However, the coverage and accuracy of VGI cannot be guaranteed. The issue of geospatial data quality in the OpenStreetMap (OSM) project has become a trending research topic because of the large size of the dataset and the multiple channels of data access. This paper focuses on a national study of the Canadian OSM road network data for the assessment of completeness, positional accuracy, attribute accuracy, semantic accuracy and lineage. The ...


Data Storytelling With Policymap Across Disciplines, Lisa DeLuca, Katie Wissel, Elizabeth Nash 2018 Seton Hall University

Data Storytelling With Policymap Across Disciplines, Lisa Deluca, Katie Wissel, Elizabeth Nash

Lisa DeLuca, MLIS, MPA

This workshop will connect the data points of a cross-disciplinary rollout of PolicyMap (a GIS-lite mapping tool) spearheaded by Seton Hall University Libraries. The business and social science librarian will discuss how they reach academic departments and help to create and support PolicyMap assignments. The discussion of the campaign will cover several avenues outreach including: highlighting the tool via web and social media channels; direct outreach for PolicyMap by liaison librarians; and partnering with the Digital Humanities Committee. 

Strategies for encouraging faculty to create assignments using the tool will be covered including in-class instruction, one-on-one consultation, and the warehousing of ...


Spatial Epidemiology Of Summer Trauma In Scott County, Ia: Use Of Gis To Identify Trauma Incidence In Urban And Rural Areas, Matthew Koch 2018 Augustana College, Rock Island Illinois

Spatial Epidemiology Of Summer Trauma In Scott County, Ia: Use Of Gis To Identify Trauma Incidence In Urban And Rural Areas, Matthew Koch

Celebration of Learning

Traumatic injury is a blanket term referring to acute physical injuries which pose an immediate threat to life and limb, requiring urgent medical care. Unintentional injuries are the fifth-leading cause of death, and fatal injuries cost the American economy over $84 billion annually in lost work and medical costs. Scott County, IA, is a unique environment for trauma research because it served by a single trauma center and features within its 458 square miles distinct urban and rural populations. Patient data from the trauma registry, including age, race, and mechanism of injury (MOI) was combined with the corresponding spatial data ...


Samsts Satellite Time Series Gap Filling Source Codes - Landsat, Lin Yan, David P. Roy 2018 South Dakota State University

Samsts Satellite Time Series Gap Filling Source Codes - Landsat, Lin Yan, David P. Roy

SAMSTS Satellite Time Series Gap Filling Source Codes

  • SAMSTS is open-source software (coded in C) for gap filling of Landsat multispectral time series developed by Drs. Lin Yan and David Roy.
  • SAMSTS 1.0 release includes source codes, user manual and test data.
  • The test data are year-2013 time series of Landsat 7 ETM+ and Landsat 8 OLI ARD surface reflectance products (http://landsat.usgs.gov/ard) over Kansas and Iowa. Each ARD tile is composed of 5000 x 5000 30m pixels with six bands (blue, red, green, NIR, SWIR 1, SWIR 2).
  • Major Software functionality:
    • Automatic gap filling of Landsat multispectral time series caused by clouds, shadows ...


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