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Using Digital Scholarship And Citizen Science To Reduce Lead Poisoning Risk In Indiana, Matthew L. Sisk 6317313 2018 University of Notre Dame

Using Digital Scholarship And Citizen Science To Reduce Lead Poisoning Risk In Indiana, Matthew L. Sisk 6317313

Bucknell University Digital Scholarship Conference

Lead exposure remains a prevalent public health issue in many communities. In some cases, the exposure risk comes from contaminated water, but in others it is from the legacy of lead-based paint or contaminated soils. Here, we report on recent work using digital scholarship techniques along side a citizen science model to increase awareness and reduce environmental hazards in the affected city of South Bend, Indiana. Over the past two years, we have worked closely with local community organizations, civic entities and concerned individuals to develop a home test kit that puts the tools to determine risk in the hands ...


Assessing Ppgis Usability And Its Relationship To Spatial Data Production: A Case Study, Timothy Michael Hitchins 2018 Portland State University

Assessing Ppgis Usability And Its Relationship To Spatial Data Production: A Case Study, Timothy Michael Hitchins

Dissertations and Theses

Modern Geoweb-enabled PPGIS methodologies incorporate interactive map applications as the main driver for public engagement and data collection. However, little research explores exactly how the public interact with these applications to produce spatial data, a fact that contributes to criticisms of final data quality. Usability evaluation offers a solution for developing better PPGIS data production systems by identifying problems in the application interface for which the public engage. Drawing on a case study example of a PPGIS application developed to collect socio-spatial data from members of a random public, this paper addresses usability in a three-stage approach. First, controlled experimentation ...


Opencrimemapping.Org: An Online Tool For Visualizing Crime, Michael Crowder, Lauren Darr, Gerardo Garza, Brent Allen 2018 Southern Methodist University

Opencrimemapping.Org: An Online Tool For Visualizing Crime, Michael Crowder, Lauren Darr, Gerardo Garza, Brent Allen

SMU Data Science Review

In this paper we present a method for creating geographic visualizations of criminal incidents using open data and open-source software. The motivation for this method is to provide law enforcement agencies (LEAs) and interested citizens an affordable and relatively easy way to start analyzing geospatial data. The National Incident Based Reporting System (NIBRS) is a national standard for LEA incident reporting going into effect for all 18,000 U.S. LEAs in 2021. This project uses the Dallas Police Department's publicly available, NIBRS-style, incident data to develop a geovisual analysis tool called opencrimemapping.org.


Rural Sense: Value, Heritage, And Sensory Landscapes: Developing A Design-Oriented Approach To Mapping For Healthier Landscapes, Judith van der Elst, Heather Richards-Rissetto, Lily Díaz-Kommonen 2018 University of Nebraska-Lincoln

Rural Sense: Value, Heritage, And Sensory Landscapes: Developing A Design-Oriented Approach To Mapping For Healthier Landscapes, Judith Van Der Elst, Heather Richards-Rissetto, Lily Díaz-Kommonen

Anthropology Faculty Publications

Landscape design needs a novel value system centred on human experience of the landscape rather than simply on economic value. Design-oriented research allows us to shift the focus from mechanistic paradigms towards new sensemaking approaches that value both the sensual and the cognitive in human experience. To move in this direction, we investigate cultural and natural aspects of sensory experience in rural landscapes, arguing that: (1) rural (non-urban) regions offer diverse sensory experiences for optimising human health; and (2) spatial interconnectedness between rural and urban areas means that healthy rural regions are critical for urban development. Our key argument is ...


The Catalyst Effect Of Historic Preservation: A Spatial Analysis Of The Impact Of Historic District Designation On Housing Renovations In New York City, Ali R. Mostafa 2018 CUNY Hunter College

The Catalyst Effect Of Historic Preservation: A Spatial Analysis Of The Impact Of Historic District Designation On Housing Renovations In New York City, Ali R. Mostafa

School of Arts & Sciences Theses

The constraints on property use along with the economic merits of historic districts are critical points in the debate over preservation policies. Improving the existing housing stock is a substantial economic activity and a significant part of the nation’s overall construction industry. The purpose of this study is to present an empirical analysis of the relationship between historic district designation and renovation decisions. The results of the analysis found that historic preservation does not inhibit the renovation activity of single-family homeowners. However, contrary to the claims made by proponents, it does not give a powerful incentive for owners in ...


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 ...


Automating Wetland Prioritization Analyses Using Gis, Blythe Hawley Spendlove 2018 University of Redlands

Automating Wetland Prioritization Analyses Using Gis, Blythe Hawley Spendlove

MS GIS Program Major Individual Projects

In environmental and conservation fields, managers and other decision makers need to prioritize their efforts to specific areas using multiple-criteria decision analysis, to maximize environmental protection given limitations of budget and time. However, creating these prioritization models requires a combination of both scientific and technical skills, and many of those with the expertise to create scientifically sound prioritization models have limited time to devote to the technical aspects of the analysis. There was a need to automate this analysis process to enable scientists and other decision makers to quickly repeat analyses with different criteria and compare the results.

This project ...


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


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