Social and Behavioral Sciences Commons^™

Improving International Development Evaluation Through Geospatial Data And Analysis, Malte Lech, Juha Ilari Uitto, Sven Harten, Geeta Batra, Anupam Anand

International Journal of Geospatial and Environmental Research

Increasing availability of new types of data strengthens geospatial research in different scientific fields and opens up opportunities to better measure results and evaluate the impacts of development interventions. This article presents examples where geospatial approaches have been applied in evaluations and thus demonstrate the potential use in informing policy design through scientifically sound evidence as well as learning.

The authors illustrate innovative ways of employing geospatial data and analysis in impact evaluations of international development cooperation. These interventions are concerned with topics such as biodiversity conservation, land degradation, sustainable use of natural resources, and disaster risk management. Recent methodological …

Using Drones To Generate New Data For Conservation Insights, Paul Lorah, Alice Ready, Emma Rinn

International Journal of Geospatial and Environmental Research

Human impact on the environment is driving a decline in biodiversity that heightens the need for informed management of conservation lands. Unmanned aerial vehicles (UAVs), also known as drones, are an increasingly cost-effective tool for generating high-quality data used to map landscape features, analyze land cover change and assess the effectiveness of conservation efforts. Traditional sources of remotely sensed data such as satellites and aircraft can be costly, inflexible and unable to detect fine-scale surface variation. This paper explores the advantages (and challenges) of analyzing data collected by drones to generate useful conservation management insights. We focus on three key …

An Investigation Of Daylighting Performance In Sidelit Spaces, Zhe Kong

Theses and Dissertations

The positive influence of daylight on people’s work and well-being has been confirmed in many studies. However, excessive daylight causes discomfort glare, which decreases work productivity, impairs occupants’ vision, and may even cause headaches. Substantial studies explored glare by correlating physical lighting measurements and subjective evaluations. With the development of High Dynamic Range (HDR) image techniques, dynamic changes of daylighting distributions can be effectively captured. Consequently, more studies paired HDR image techniques with subject evaluations to explore glare. However, studies merely relying on field measurements are not only time-consuming and labor-intensive but may also disturb occupants. To address these problems, …

Learner Requirements And Geospatial Literacy Challenges For Making Meaning With Google Earth, Lynn A. Moorman, Susan Crichton

International Journal of Geospatial and Environmental Research

This research contributes an educational research perspective to teaching and learning with geospatial technologies. This work considers the literacy of a geospatial text that is readily accessible to students, but often assumed to be intuitive to read– dynamic scalable satellite imagery, which often serves as base maps for common navigation, GIS, and virtual globe applications. Within the context of a STEM project, Grades 5 and 6 students were observed and interviewed to identify knowledge and skills that were required to make meaning of Google Earth imagery. A qualitative methodological approach incorporating a thinkaloud data collection protocol was followed to stay …

Improving Spatial Thinking Through Experiential-Based Learning Across International Higher Education Settings, Kyle C. Flynn

International Journal of Geospatial and Environmental Research

Research in geographic education has a strong focus on the improvement of spatial thinking. For Millennials, spatial thinking curriculum could benefit from the inclusion of experiential-based learning activities. However, as universities are faced with larger class sizes, new approaches need to be incorporated by the instructors to offer improved learning environments. Courses introducing basic geography skills often incorporate lessons concerned with spatial thinking and global perspectives. Thus, the instruction of geographic tools such as Global Positioning Systems (GPS), longitude, latitude, and remote sensing offer prime opportunities for experiential-based learning in geographic pedagogy. This research aimed to employ a low-cost experiential-based …

Geography Education, Spatial Thinking, And Geospatial Technologies: Introduction To The Special Issue, Injeong Jo, Jung Eun Hong

International Journal of Geospatial and Environmental Research

This special issue contains six papers on the development of students’ knowledge, skills, and practice of geospatial thinking in a variety of educational contexts. Each of the papers addresses an aspect of the research gap that deserves timely attention in the field, focusing on curriculum design, pedagogical approaches, exemplary resources or tools, and strategies to move forward for the promotion of geospatial teaching and learning. We encourage continued research efforts to accumulate knowledge about curriculum, instruction, and assessment, as well as teachers’ professional development that can help students become 21st-century citizens equipped with geospatial literacy. Further research is recommended on …

Vegetation Land Cover/Use Dynamics And Their Effects In Mbulu And Karatu Districts In The North-Eastern Highlands Of Tanzania, Leonia John Raphael

International Journal of Geospatial and Environmental Research

Vegetation Land Cover/Land Use dynamics (VLC/LU) are the result of complex and compound interactions between the human (cultural, socioeconomic, and political) and the physical environment at different spatial scales. The present study assesses the spatial distribution of VLC/LU dynamics from 1987 to 2015 in the North-Eastern highlands of Tanzania using both qualitative (in-depth interviews and focus group discussions) and quantitative techniques (spatio-temporal analysis through GIS). The qualitative approach was used to elicit information on the main drivers of VLC/LU changes by land users as transitions occurred with time. The spatio-temporal analysis was used to assess the systematic vegetation land losses, …

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 …

Agents Of Change: Scholarly Intervention At The Science-Policy Nexus, Daniel Card

Theses and Dissertations

This dissertation examines an emerging “engaged rhetoric of science, technology, and medicine” (ERSTM)—an effort to ensure rhetoric’s “broader impacts” by more directly engaging the practices of science and sociotechnical policymaking. Through careful analysis of engaged rhetorical practice, I identify divergent conceptualizations of both rhetoric and engagement and subsequently draw on new materialist rhetorical theory and empirical research on science communication and public engagement to advance “problem-oriented rhetorical catalysis” (PRC) as a mode of engagement capable of advancing rhetoric’s institutional value and ethical commitments without abandoning its core disciplinary expertise and areas of inquiry. I further suggest the PRC is uniquely …

Fitting A Complex Markov Chain Model For Firm And Market Productivity, Julia Ruth Valder

Theses and Dissertations

This thesis develops a methodology of estimating parameters for a complex Markov chain model for firm productivity. The model consists of two Markov chains, one describing firm-level productivity and the other modeling the productivity of the whole market. If applicable, the model can be used to help with optimal decision making problems for labor demand. The need for such a model is motivated and the economical background of this research is shown. A brief introduction to the concept of Markov chains and their application in this context is given. The simulated data that is being used for the estimation is …

Quantitative Phenotype Analysis To Identify, Validate And Compare Rat Disease Models, Yiqing Zhao

Theses and Dissertations

Introduction

The laboratory rat has been widely used as an animal model in biomedical research. There are many strains exhibiting a wide variety of phenotypes. Capturing these phenotypes in a centralized database provides researchers with an easy method for choosing the appropriate strains for their studies. Current resources such as NBRP and PhysGen provided some preliminary work in rat phenotype databases. However, there are drawbacks in both projects: (1) small number of animals (6 rats) used by NBRP; (2) NBRP project is a one-time effort for each strain; (3) PhysGen web interface only enables queries within a single study – …

Variation Of Groundwater Divides During Wet And Dry Years In The Wolf River Basin, Northeastern Wisconsin, Susan A. Borchardt

International Journal of Geospatial and Environmental Research

Groundwater divides and surface-water divides do not always coincide, and groundwater divides are not as easy to detect as surface-water divides. Groundwater divides are also dynamic, moving in response to environmental and anthropogenic stresses. This study will investigate how different hydrological stresses can change the size and shape of the study basin and whether the stresses together mitigate or intensify the basin’s response. This study looks at three factors that may affect the size and shape of the Wolf River basin: annual precipitation, soil permeability, and the presence of high-capacity wells. This study examined four groundwater basins that represent the …

Community Perspectives On Neighborhood Characteristics And Home-Buying Decisions, Madhuri Sharma

International Journal of Geospatial and Environmental Research

This paper analyzes households’ perceptions of neighborhoods according to Brown and Chung’s framework of Market-Led Pluralism (M-LP). Using household survey responses from 100 respondents in Columbus, Ohio and Milwaukee, Wisconsin, I empirically test MLP’s utility in understanding consumers’ decision making processes on where to live and who to live with. Consumers from all races/ethnicities ranked these attributes similarly, closely aligning with the M-LP. The quality of schools, safety of neighborhoods, price and affordability generally mattered to all consumers. However, African Americans’ perceptions of certain attributes as more valuable than others’ are likely due to their lower socio-economic status and the …

Validating Geospatial Regression Models With Bootstrapping, Lam T. Tran, Phoebe Tran

International Journal of Geospatial and Environmental Research

Spatial statistical models have been used extensively in many geospatial and environmental studies over several decades. While being very important, the issues of testing and validation in spatial statistical models are rarely investigated carefully in spatial environmental studies. Often strict theoretical asymptotic assumptions used in those models are left unexplored or unanswered in many studies. This study is to explore if bootstrapping is capable of providing more realistic statistical inference for spatial regression models while dealing with several common issues with spatial data, such as spatial dependence and unknown heteroscedasticity. With experiments on both simulated and real-world datasets, the study …

Accuracy Of Unmanned Aerial System (Drone) Height Measurements, Daniel R. Unger, I-Kuai Hung, David L. Kulhavy, Yanli Zhang, Kai Busch-Petersen

International Journal of Geospatial and Environmental Research

Vertical height estimates of earth surface features using an Unmanned Aerial System (UAS) are important in natural resource management quantitative assessments. An important research question concerns both the accuracy and precision of vertical height estimates acquired with a UAS and to determine if it is necessary to land a UAS between individual height measurements or if GPS derived height versus barometric pressure derived height while using a DJI Phantom 3 would affect height accuracy and precision. To examine this question, height along a telescopic height pole on the campus of Stephen F. Austin State University (SFASU) were estimated at 2, …