Modelling Acoustics In Ancient Maya Cities: Moving Towards A Synesthetic Experience Using Gis & 3d Simulation,
2021
University of California, Merced
Modelling Acoustics In Ancient Maya Cities: Moving Towards A Synesthetic Experience Using Gis & 3d Simulation, Graham Goodwin, Heather Richards-Rissetto
Department of Anthropology: Faculty Publications
Archaeological analyses have successfully employed 2D and 3D tools to measure vision and movement within cityscapes; however, built environments are often designed to invoke synesthetic experiences. GIS and Virtual Reality (VR) now enable archaeologists to also measure the acoustics of ancient spaces. To move toward an understanding of synesthetic experience in ancient Maya cities, we employ GIS and 3D modelling to measure sound propagation and reverberation using the main civic-ceremonial complex in ancient Copán as a case study. For the ancient Maya, sight and sound worked in concert to create ritually-charged atmospheres and architecture served to shape these experiences. Together …
Examining Patterns And Drivers Of Spatial And Temporal Variability In Playa Hydroperiod In The High Plains Region Of Western Kansas,
2021
Minnesota State University, Mankato
Examining Patterns And Drivers Of Spatial And Temporal Variability In Playa Hydroperiod In The High Plains Region Of Western Kansas, Luis Lepe
All Graduate Theses, Dissertations, and Other Capstone Projects
Playa wetlands are some of the most important natural features of the High Plains of the central United States. Playas provide a range of ecosystem services such as groundwater recharge, surface water storage, and wetland habitat. However, playa functions are declining due to land cover change, climate change, and playa and watershed modifications. There are only a few studies that have examined the variability and controls on playa water storage. This project aims to determine how playa and watershed morphology, watershed land cover, and precipitation patterns affect timing and duration of water storage in 92 playas distributed throughout a 10-county …
Evaluating St. Catherines Island's Shoreline, Vegetation Line, And The Locations Of Loggerhead Sea Turtle Nests,
2021
Georgia Southern University
Evaluating St. Catherines Island's Shoreline, Vegetation Line, And The Locations Of Loggerhead Sea Turtle Nests, Sydney O. Davis
College of Graduate Studies: Theses & Dissertations
St. Catherines Island is a highly dynamic barrier island on the Georgia coast that is also federally listed critical nesting habitat for loggerhead sea turtles. Understanding how St. Catherines’ shoreline and vegetation is changing over time is geographically important as a potential template for other barrier islands. Measuring sea turtle nest locations will provide insight into their natural patterns and how they adjust those locations on a changing barrier island. Analyzing Moving Boundaries Using R (AMBUR) is implemented in this research to assess the movement of the vegetation and shorelines from 2005-2017 using the End Point Rate (EPR) and Linear …
A Study Of Geographic Information System-Based Watershed Processing For Hydrologic Analysis Of Ungauged Watersheds,
2021
South Dakota State University
A Study Of Geographic Information System-Based Watershed Processing For Hydrologic Analysis Of Ungauged Watersheds, Philip Adanbe Adalikwu
Electronic Theses and Dissertations
The increasing application of geographic information system (GIS) technology in watershed modeling makes is necessary to further evaluate its impacts on runoff characteristics as a basis for improved hydrologic analysis in ungauged watersheds. Experts in the field of water resources and hydrology have recommended the practice of subdivision when modeling a watershed, and the use of observed data from hydrologically similar watershed to calibrate and validate an ungauged watershed’s model. However, previous studies have failed to adequately address the issues of watershed heterogeneity, spatial and temporal variability in physical parameters, GIS data resolution issues, including artifacts in automated extraction of …
A Hand-Held Structure From Motion Photogrammetric Approach To Riparian And Stream Asseessment And Monitoring,
2021
University of Montana
A Hand-Held Structure From Motion Photogrammetric Approach To Riparian And Stream Asseessment And Monitoring, Joseph M. Dehnert, Joseph Dehnert
Graduate Student Theses, Dissertations, & Professional Papers
Two of the biggest weaknesses in stream restoration and monitoring are: 1) subjective estimation and subsequent comparison of changes in channel form, vegetative cover, and in-stream habitat; and 2) the high costs in terms of financing, human resources, and time necessary to make these estimates. Remote sensing can be used to remedy these weaknesses and save organizations focused on restoration both money and time. However, implementing traditional remote sensing approaches via autonomous aerial systems or light detection and ranging systems is either prohibitively expensive or impossible along small streams with dense vegetation. Hand-held Structure from Motion Multi-view Stereo (SfM-MVS) photogrammetric …
Mapping Ethnophysiographies: An Investigation Of Toponyms And Land Cover Of Missoula County, Montana,
2021
University of Montana
Mapping Ethnophysiographies: An Investigation Of Toponyms And Land Cover Of Missoula County, Montana, Emily L. Cahoon
Graduate Student Theses, Dissertations, & Professional Papers
This thesis investigates the ethnophysiography of Missoula County, Montana via place names. Toponyms and landscape have been observed to have a relationship that can be studied through many lenses. Ethnophysiography, the study of how language and landscape relate to each other via human conceptualization, is a lens that was applied to this thesis because it recognizes the embodied information that toponyms carry and investigates landscape accordingly. Thus, the following research seeks to understand if ethnophysiographic diversity exists between toponyms in the Salish and English languages of Missoula County, Montana by analyzing place names and land cover in GIS and analyzing …
Using New And Long-Term Multi-Scale Remotely Sensed Data To Detect Recurrent Fires And Quantify Their Relationship To Land Cover/Use In Indonesian Peatlands,
2021
South Dakota State University
Using New And Long-Term Multi-Scale Remotely Sensed Data To Detect Recurrent Fires And Quantify Their Relationship To Land Cover/Use In Indonesian Peatlands, Yenni Vetrita
Electronic Theses and Dissertations
Indonesia has committed to reducing its greenhouse gases emissions by 29% (potentially up to 41% with international assistance) by 2030. Achieving those targets requires many efforts but, in particular, controlling the fire problem in Indonesia’s peatlands is paramount, since it is unlikely to diminish on its own in the coming decades. This study was conducted in Sumatra and Kalimantan peatlands in Indonesia. Four MODIS-derived products (MCD45A1 collection 5.1, MCD64A1 (collection 5.1 and 6), FireCCI51) were initially assessed to explore long-term fire frequency and land use/cover change relationships. The results indicated the product(s) could only detect half of the fires accurately. …
Use And Improvement Of Remote Sensing And Geospatial Technologies In Support Of Crop Area And Yield Estimations In The West African Sahel,
2021
South Dakota State University
Use And Improvement Of Remote Sensing And Geospatial Technologies In Support Of Crop Area And Yield Estimations In The West African Sahel, Kaboro Samasse
Electronic Theses and Dissertations
In arid and semi-arid West Africa, agricultural production and regional food security depend largely on small-scale subsistence farming and rainfed crops, both of which are vulnerable to climate variability and drought. Efforts made to improve crop monitoring and our ability to estimate crop production (areas planted and yield estimations by crop type) in the major agricultural zones of the region are critical paths for minimizing climate risks and to support food security planning. The main objective of this dissertation research was to contribute to these efforts using remote sensing technologies. In this regard, the first analysis documented the low reliability …
Spatial Patterns Of Crime In District 05, Quito-Ecuador, 2016-2020,
2021
Minnesota State University, Mankato
Spatial Patterns Of Crime In District 05, Quito-Ecuador, 2016-2020, Pablo Esteban Ochoa Veloz
All Graduate Theses, Dissertations, and Other Capstone Projects
The geography of crime in Ecuador has not been geographically studied. In Quito, few criminal studies have been developed from a geographic approach. This research focuses on studying trends and patterns of crime in Quito`s District 05 by employing spatial analytical tools using GIS (Geographic Information System), statistics and cartographic techniques. This study aims to contribute to the literacy in crime-related topic in the country. Quito´s District 05 houses a representative percentage of the city´s financial services, retail activities, and other tertiary services. This district is among the most important economic business district in the city which attract many people …
Quantifying The Impact Of Remapping Floodplains On Residential Property Values In Snohomish County, Washington: A Hedonic Approach,
2021
Central Washington University
Quantifying The Impact Of Remapping Floodplains On Residential Property Values In Snohomish County, Washington: A Hedonic Approach, Carson Joseph Risner
All Master's Theses
Flood events are the most common and costly natural disasters. The Federal Emergency Management Agency (FEMA) quantifies flood risks in the form of Flood Insurance Rate Maps (FIRMS). These FIRMS delineate flood risks and are used to set flood insurance premiums. Changes in land use, the augmentation of the natural environment, is threatening the validity of the Nation’s FIRMS. Therefore, Congress has approved remapping programs to update these FIRMs ensuring that current flood risks are known. This remapping presents another issue, specifically for properties that are remapped into a flood zone. Current literature suggests that properties within flood zones are …
Evaluating The Spatial Trends And Statistical Determinants Of Residential Solar Uptake In Washington State,
2021
Central Washington University
Evaluating The Spatial Trends And Statistical Determinants Of Residential Solar Uptake In Washington State, Caleb Michael Valko
All Master's Theses
Washington State’s Clean Energy Transformation Act and other state and federal policies encouraging solar power make Washington a ripe candidate to examine growth, trends, and potential determinants or barriers to residential solar uptake. In this thesis, residential solar is cumulatively and annually mapped by county (2000-2019) and Census tract (2017-2019) across the state to identify trends over time and space. Each variable (income, age, households, race, education, solar insolation, cost of solar per watt) was isolated individually to analyze the relationship (if any) to the dependent variable (i.e., residential solar installations). The covariates are then combined into a multiple regression …
An Application Of The Sleuth Model: Future Urbanization Of Davidson County, Tennessee,
2021
CUNY Lehman College
An Application Of The Sleuth Model: Future Urbanization Of Davidson County, Tennessee, Caitlyn J. Linehan
Theses and Dissertations
As the urban population is expected to grow in the coming decades, there is pressure on urban areas to expand to accommodate this growth. Often times, these expansions are not sustainable, they consume valuable lands and cause significant environmental, social, and economic burdens, a theory which is known as urban sprawl. Therefore it is often imperative to model areas more likely to urbanize in order for cities to plan for their expansion in the most sustainable way possible. Nashville, Tennessee located within Davidson County is an area that has been experiencing a significant period of urban growth. The objective of …
Sensing Population Distribution From Satellite Imagery Via Deep Learning:Model Selection, Neighboring Effects, And Systematic Biases,
2021
University of Arkansas, Fayetteville
Sensing Population Distribution From Satellite Imagery Via Deep Learning:Model Selection, Neighboring Effects, And Systematic Biases, Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou
Geosciences Faculty Publications and Presentations
The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning approaches that enable latent features and hidden geographical patterns to be extracted. This article marks the first attempt to cross-compare performances of popular state-of-the-art deep learning models in estimating population distribution from remote sensing images, investigate the contribution of neighboring effect, and explore the potential systematic population estimation biases. We conduct an end-to-end training of four popular deep learning architectures, i.e., VGG, ResNet, Xception, and DenseNet, by establishing a mapping between Sentinel-2 image patches and …
Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions,
2021
Xi'an University of Science and Technology
Toward The Development Of Deep Learning Analyses For Snow Avalanche Releases In Mountain Regions, Yunzhi Chen, Wei Chen, Omid Rahmati, Fatemeh Falah, Dominik Kulakowski, Saro Lee, Fatemeh Rezaie, Mahdi Panahi, Aref Bahmani, Hamid Darabi, Ali Torabi Haghighi, Huiyuan Bian
Geography
Snow avalanches impose a considerable threat to infrastructure and human safety in snow bound mountain areas. Nevertheless, the spatial prediction of snow avalanches has received little research attention in many vulnerable parts of the world, particularly in developing countries. The present study investigates the applicability of a stand alone convolutional neural network (CNN) model, as a deep learning approach, along with two metaheuristic algorithms including grey wolf optimization (CNN-GWO) and imperialist competitive algorithm (CNN-ICA) in snow avalanche modelling in the Darvan watershed, Iran. The analysis was based on thirteen potential drivers of avalanche occurrence and an inventory map of previously …
Reassessing The Ranging Behavior Of Black-And-White Ruffed Lemurs (Varecia Variegata) In Ranomafana National Park, Madagascar,
2021
CUNY City College
Reassessing The Ranging Behavior Of Black-And-White Ruffed Lemurs (Varecia Variegata) In Ranomafana National Park, Madagascar, Jelisa R. Oliveras
Dissertations and Theses
This study investigates black-and-white ruffed lemur (Varecia variegata) space use and movement using autocorrelated kernel density estimation (AKDE), a new methodology available from the continuous-time movement model (ctmm) package in R. Data were collected from 24 adults and subadults (10 males, 11 females, 3 subadult males) living in two adjacent V. variegata communities at Mangevo bush camp in Ranomafana National Park, Madagascar (RNP) for 11 months (February – December 2008) to estimate annual and seasonal patterns of individual and community-level range use. Autocorrelated kernel density estimates generated in this study are compared to earlier kernel density estimates from …
Geoprivacy, Convenience, And The Pursuit Of Anonymity In Digital Cities,
2021
University of Kansas
Geoprivacy, Convenience, And The Pursuit Of Anonymity In Digital Cities, Jerome Dobson, William A. Herbert
Publications and Research
Cities demand spatial efficiencies that can be achieved only through sharing of information. Current technologies support collection, processing, and dissemination of unprecedented quantities of personal, public, and corporate information. Inherent in this milieu is an inevitable contest among societal efficiency, corporate profits, consumer convenience, personal privacy, and even freedom. The authors examine current trends in technology, data collection, legislation, and public acceptance. They find that without broad specific regulations limiting location data collection and use—including a universal protected right for individuals to pursue anonymity—governments, commercial enterprises, employers, and individuals increasingly will exploit tracking technologies at the expense of geoprivacy.
Sea Level Rise Impacts On The City Of Cape Coral, Southwest Florida From 2020 To 2050,
2021
South Dakota State University
Sea Level Rise Impacts On The City Of Cape Coral, Southwest Florida From 2020 To 2050, Jawata Afnan Saba
Electronic Theses and Dissertations
Sea level rise, a consequence of global climate change, has been affecting the U.S. coasts with flooding and exacerbated storm surges. Florida is highly vulnerable because it has low-lying topography and coastlines on both the Atlantic Ocean and the Gulf of Mexico. The City of Cape Coral, Southwest Florida, is known as a ‘waterfront wonderland’ with 400 miles of canals that provide waterfront property to the residents. Most of the canals are navigable, and many have access to the Gulf of Mexico. The city is vulnerable to sea level rise because of its canals, site between the Matlacha Pass and …
Three Essays On “Energy , Environment, And Developmental Economics”,
2021
West Virginia University
Three Essays On “Energy , Environment, And Developmental Economics”, Bolarinwa Ajanaku
Graduate Theses, Dissertations, and Problem Reports (ETD)
This dissertation examines topics related to renewable energy development and investment planning, energy markets, environment degradation and economic development. The substantial ecological costs of deforestation are well known and considered globally important due to biodiversity loss, land degradation, soil erosion, and contributions to climate change. The first essay focuses upon understanding the tradeoff between development and deforestation in Africa. In the second essay, spatial analysis and Geographic Information System (GIS) are applied to determine potential locations for wind farms development in the state of West Virginia. Lastly, the third essay examines the role of wind power penetration on wholesale electricity …
Ensemble Encoder-Decoder Models For Predicting Land Transformation,
2021
West Virginia University
Ensemble Encoder-Decoder Models For Predicting Land Transformation, Pariya Pourmohammadi
Graduate Theses, Dissertations, and Problem Reports (ETD)
In studying dynamic and complex processes which are influenced by a system of inter-connected driving variables, it is crucial to apply models that can learn the complexity of the interactions. Land transformation is one of such complex processes, prediction of which can help to mitigate severe climate situations and improve the resiliency of communities. In this study, a multi-spectral set of data cubes is used to capture various characteristics of a geographic region. Based on the data cube, a feature space is constructed using socio-economic attributes, terrain characteristics, and landscape traits of the study region. Two-dimensional and three-dimensional convolutional neural …
Advancing The Spatial Turn In History Through Deep Mapping: Ghost Maps, Neogeography, And Frederick Jackson Turner,
2021
West Virginia University
Advancing The Spatial Turn In History Through Deep Mapping: Ghost Maps, Neogeography, And Frederick Jackson Turner, Jessica L. Mathai
Graduate Theses, Dissertations, and Problem Reports (ETD)
The permeation of the spatial turn into the humanities, and in particular history, has both imbued scholarship and opened up new areas for research. This dissertation examines the conceptual and theoretical implications of advancing the spatial turn in history and evaluating existing approaches such as Historical GIS and ghost mapping as a foundation for deep mapping. The resulting deep map developed in this study utilizes Neogeography and web technology in the form of JavaScript Application Programming Interfaces (APIs) to develop a prototype that overcomes many of the limitations that occur when simultaneously integrating multiple sources of data and software functionality, …
