Geography Commons^™

Developing Social Justice Skills Through Community Service-Learning In High School Social Studies, Sharehann T. Lucman

The Councilor: A National Journal of the Social Studies

Social studies teachers are presented with the challenging yet rewarding task of cultivating in their students' principles and competencies essential for democratic and social-justice-oriented citizenship. Inspired and guided by literature on social justice education and community service-learning, this study suggests that social studies teachers ought to consider integrating teaching methods that are experiential, participatory, and critical in nature. An example of such a method is community service-learning. As illustrated in this study, community service-learning activities afford students the unique opportunity to apply their knowledge and skills on social justice in authentic social situations.

Using a descriptive and textual analysis approach, …

Long Term Air Quality Analysis In Reference To Thermal Power Plants Using Satellite Data In Singrauli Region, India, H. K. Romana, Ramesh P. Singh, D. P. Shukla

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The exponentially growing population and related anthropogenic activities have led to modifications in local environment. The change in local environment, evolving pattern of land use, concentrations of greenhouse gases and aerosols alter the energy balance of our climate system. This alteration in climate is leading to pre-mature deaths worldwide. This study analyses the air quality of Singrauli region, Madhya Pradesh, India for the past 15 years. Otherwise known as Urjanchal “the energy capital” of India has been declared as critically polluted by CPCB. The study provides an updated list of thermal power plants in the study area and their emission …

Race-Ethnic Neighborhood Segregation In The Southwest Megapolitan Triangle, Yanneli Llamas, Caitlin J. Saladino, William E. Brown Jr.

Demography

This Fact Sheet analyzes race-ethnic neighborhood segregation in the Southwest Megapolitan Triangle, which consists of the Las Vegas-Henderson-Paradise, NV; Los Angeles-Long Beach-Anaheim, CA; and Phoenix-Mesa-Chandler, AZ metropolitan statistical areas (MSAs). Drawing from an original report by Brookings senior fellow, William Frey, this fact sheet illustrates the degree of residential segregation over time in the three MSAs.

Antarctica And The Southern Ocean, Jessica Blunden, Derek S. Arndt, E. Povl Abrahamsen, Sandra Barreira, Cecilia M. Bitz, Amy Butler, Kyle R. Clem, Steve Colwell, Lawrence Coy, Jos De Laat, Marcel D. Du Plessis, Ryan L. Fogt, Helen Amanda Fricker, John Fyfe, Alex S. Gardner, Sarah T. Gille, Tessa Gorte, L. Gregor, Will Hobbs, Bryan Johnson, Eric Keenan, Linda M. Keller, Natalya A. Kramarova, Matthew A. Lazzara, Jan T.M. Lenaerts, Jan L. Lieser, Hongxing Liu, Craig S. Long, Michelle Maclennan, Robert A. Massom, François Massonnet, Matthew R. Mazloff

Faculty Publications

No abstract provided.

Introduction To Big Data Computing For Geospatial Applications, Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook, Qingfeng Guan

Faculty Publications

The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this …

Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus

Theses and Dissertations

This paper investigates how the snow-albedo feedback mechanism of the arctic is changing in response to rising climate temperatures. Specifically, the interplay of vegetation and snowmelt, and how these two variables can be correlated. This has the potential to refine climate modelling of the spring transition season. Research was conducted at the ecoregion scale in northern Alaska from 2000 to 2020. Each ecoregion is defined by distinct topographic and ecological conditions, allowing for meaningful contrast between the patterns of spring albedo transition across surface conditions and vegetation types. The five most northerly ecoregions of Alaska are chosen as they encompass …

A Comparison Of The Economic And Cultural Development Of Japan And Thailand Through The Human Development And World Happiness Indices, Tanner Money

Undergraduate Honors Theses

The purpose of this thesis is to make human development and happiness comparisons between two countries that are found in the same region of the world and share similar cultural and historical backgrounds. For this study, the human development measures for Japan and Thailand are compared based on Life Expectancy, Literacy Rates, and Gross Domestic Product (per capita) measures. First, the historical development of Japan and Thailand is presented, highlighting the key historical economic and political moments in each country that has led them to their present state of development. Second, the two countries were compared using quantitative and qualitative …

Potential Of Resampled Multispectral Data For Detecting Desmodium-Brachiaria Intercropped With Maize In A 'Push-Pull' System, B. T. Mudereri, E. M. Abdel-Rahman, T. Dube, T. Landmann, S. Niassy, H. E.Z. Tonnang, Z. R. Khan

All Peer-Reviewed Publications

Poor crop yields remain one of the main causes of chronic food insecurity in Africa. This is largely caused by insect pests, weeds, unfavourable climatic conditions and degraded soils. Weed and pest control, based on the climate-adapted g'push-pull' system, has become an important target for sustainable intensification of food production adopted by many small-holder farmers. However, essential baseline information using remotely sensed data is missing, specifically for the g'push-pull' companion crops. In this study, we investigated the spectral uniqueness of two of the most commonly used g'companion' crops (i.e. greenleaf Desmodium (i Desmodium intortum/i) and Brachiaria (i Brachiaria/i cv Mulato) …

A Modeling Framework For Urban Growth Prediction Using Remote Sensing And Video Prediction Technologies: A Time-Dependent Convolutional Encoder-Decoder Architecture, Ahmed Hassan Jaad

Civil and Environmental Engineering Theses and Dissertations

Studying the growth pattern of cities/urban areas has received considerable attention during the past few decades. The goal is to identify directions and locations of potential growth, assess infrastructure and public service requirements, and ensure the integration of the new developments with the existing city structure. This dissertation presents a novel model for urban growth prediction using a novel machine learning model. The model treats successive historical satellite images of the urban area under consideration as a video for which future frames are predicted. A time-dependent convolutional encoder-decoder architecture is adopted. The model considers as an input a satellite image …

Wideband Satcom Model: Evaluation Of Numerical Accuracy And Efficiency, Andrew J. Knisely, Andrew J. Terzuoli Jr.

Faculty Publications

The spectral method is typically applied as a simple and efficient method to solve the parabolic wave equation in phase screen scintillation models. The critical factors that can greatly affect the spectral method accuracy is the uniformity and smoothness of the input function. This paper observes these effects on the accuracy of the finite difference and the spectral methods applied to a wideband SATCOM signal propagation model simulated in the ultra-high frequency (UHF) band. The finite difference method uses local pointwise approximations to calculate a derivative. The spectral method uses global trigonometric interpolants that achieve remarkable accuracy for continuously differentiable …

Essays On Climate Change-Related Extreme Events, Alvin E. Harris

Dissertations

There are increasing and urgent calls for global economies to join in the fight against the impacts of climate change (World Bank, 2020). With reports such as the World Bank (2020) of climate change costing billions of dollars in losses for economies, the purpose of my dissertation is to examine the effects of climate change-related extreme events and their potential economic effects in three areas: agriculture, migration, and the labor market.

My first essay focuses on the factors that influence farmers’ perception of risk and adaptive strategies against the effects of climate change-related extreme events. I examine whether farmers’ social …

Charles H. Smith: A Direct-Line Ancestry, Since Colonial Times, Charles H. Smith

Faculty/Staff Personal Papers

A direct-line ancestry of American forebears of Charles H. Smith (1950-), constructed by Dr. Smith through the aid of Ancestry.com and other sources.

Landslide Susceptibility Analysis In Kabandungan District And Salak Geothermal Field, West Java, Misbahudin Misbahudin

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Landslide hazards can be caused by several factors such as lithology, land cover, rainfall, slope, curvature, aspect, distance from river and road. In this study, a landslide susceptibility mapping was carried out using a Geographical Information System (GIS) in Kabandungan District and Salak Geothermal Field, West Java. The data used consisted of an inventory of points and landslide areas totalling 247 using a visual collection of Google Earth imagery. The Weight of Evidence (WoE) model is used to select parameters that cause landslides and to produce landslide vulnerability maps. The results of modeling indicate a positive relationship between selective factors …

Assessment Of The Groundwater Recharge Potential Areas Using Gis In Kajor Kulon Hamlet, Selopamioro, Imogiri, Bantul, Yogyakarta, Deni Rahman Saputra, Andi Renata Ade Yudono, Partoyo Partoyo

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Groundwater balance occurs in the presence of recharge and discharge. The process of entering the water in soil takes place with an infiltration-percolation to aquifers. The groundwater recharge area is identified by lithology, land use, slope, rainfall, land, and landform. Kajor Kulon Hamlet, Selopamioro Village, Imogiri Sub-district, Bantul Regency, Special Region of Yogyakarta becomes an area with hilly morphology, active fault areas, and including drought-prone regions. Change of the land function in hilly areas by making settlements and un-irrigation field for farming may cause decreased ability as a recharge area. Research aim sare to assessing, determining, and analyzing the conditions …

Seasonal Distribution Of Microbial Biomass Carbon And Some Heavy Metals Around The Industrial Area Of Kano Metropolis, Northwestern-Nigeria, Mansur Abdul Mohammed, Luka Fitto Buba

Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

The accumulation of toxic heavy metals in excessive quantities has a detrimental effect on soil quality which interferes with key biochemical processes in soils. It is very imperative to explore soil microbial activities concerning to environmental conditions for sustainable soil management. The study aimed to assess the seasonal distribution of soil microbial biomass carbon (MBC), some heavy metals and pH, and their relationship in the soil ecosystem. Field investigation and laboratory analysis were the main methods adopted as sources of generating data and analyses. Ten soil samples were collected using composite sampling techniques on seasonal bases and then analyzed in …

Predicting And Mapping Plethodontid Salamander Abundance Using Lidar-Derived Terrain And Vegetation Characteristics, Marco Antonio Contreras, Wesley A. Staats, Steve J. Price

Forestry and Natural Resources Faculty Publications

Aim of the study: Use LiDAR-derived vegetation and terrain characteristics to develop abundance and occupancy predictions for two terrestrial salamander species, Plethodon glutinosus and P. kentucki, and map abundance to identify vegetation and terrain characteristics affecting their distribution.

Area of study: The 1,550-ha Clemons Fork watershed, part of the University of Kentucky’s Robinson Forest in southeastern Kentucky, USA.

Materials and methods: We quantified the abundance of salamanders using 45 field transects, which were visited three times, placed across varying soil moisture and canopy cover conditions. We created several LiDAR-derived vegetation and terrain layers and used these …

Impacts Of The Degraded Alpine Swamp Meadow On Tensile Strength Of Riverbank: A Case Study Of The Upper Yellow River, Peng Gao, Haili Zhu, Zhiwei Li, Jiangtao Fu, Guorong Li, Yabin Liu, Xilai Li, Xiasong Hu

Geography and the Environment - All Scholarship

In the meandering riverbank of the Upper Yellow River (UYR), the native alpine swamp meadow (AS) has continuously degenerated into an alpine meadow (AM) due to climate change and intensified grazing. Its implication on river morphology is still not well known. This study examined this effect by in situ measurings of (1) physical properties of roots and their distribution in the soil-root mixture of the upper bank layer, and (2) the tensile strength in terms of excavating tests for triggering cantilever collapses of AS and AM riverbanks. The results showed that the root number in AS was significantly greater than …

College Of Natural Sciences Newsletter, August 2020, College Of Natural Sciences

College of Natural Sciences Newsletters and Reports

Volume 1. Issue 7

Contents:

Dean’s Update P.1
Awards & Recognition P.2
New Faculty | Student Clubs P.3
Research Spotlight | Open PRAIRIE P.4
ODFS | Interest in Science P.3

Changing Faces, Changing Places: Understanding Immigration, Housing Market And Native Out-Migration In Established And New Destinations In The United States., Anqi Xu

Electronic Theses and Dissertations

This dissertation concerns residential incorporation and the socioeconomic impact of immigrants primarily from Latin America and Asia with their rapid geographical dispersal in the U.S. I adopt econometrics methodologies and GIS techniques to examine how immigration affects housing price changes and white out-mobility in established and new destinations, utilizing datasets from the U.S. Census Bureau and the Panel Study of Income Dynamics (PSID). The first part examines the effects of immigration into the U.S. established and new immigrant destinations on housing prices using county-level data that span 2011 to 2017. Using the global and local Moran’s I statistics, I demonstrate …

Deep Learning For Remote Sensing Image Processing, Yan Lu

Computational Modeling & Simulation Engineering Theses & Dissertations

Remote sensing images have many applications such as ground object detection, environmental change monitoring, urban growth monitoring and natural disaster damage assessment. As of 2019, there were roughly 700 satellites listing “earth observation” as their primary application. Both spatial and temporal resolutions of satellite images have improved consistently in recent years and provided opportunities in resolving fine details on the Earth's surface. In the past decade, deep learning techniques have revolutionized many applications in the field of computer vision but have not fully been explored in remote sensing image processing. In this dissertation, several state-of-the-art deep learning models have been …