Spatial Science Commons^™

Reconstruction Of Daily 30 M Data From Hj Ccd, Gf-1 Wfv, Landsat, And Modis Data For Crop Monitoring, Mingquan Wu, Xiaoyang Zhang, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao

GSCE Faculty Publications

With the recent launch of new satellites and the developments of spatiotemporal data fusion methods, we are entering an era of high spatiotemporal resolution remote-sensing analysis. This study proposed a method to reconstruct daily 30 m remote-sensing data for monitoring crop types and phenology in two study areas located in Xinjiang Province, China. First, the Spatial and Temporal Data Fusion Approach (STDFA) was used to reconstruct the time series high spatiotemporal resolution data from the Huanjing satellite charge coupled device (HJ CCD), Gaofen satellite no. 1 wide field-of-view camera (GF-1 WFV), Landsat, and Moderate Resolution Imaging Spectroradiometer (MODIS) data. Then, …

Geospatial Workflows And Trust: A Use Case For Provenance, Rachel Frances Linck

Graduate Theses and Dissertations

At first glance the Astronomer by Vermeer, Tutankhamun’s burial mask, and a geospatial workflow may appear to have nothing in common. However, a commonality exists; each of these items can have a record of provenance detailing their history. Provenance is a record that shows who did what to an object, where this happened, and how and why these actions took place. In relation to the geospatial domain, provenance can be used to track and analyze the changes data has undergone in a workflow, and can facilitate scientific reproducibility. Collecting provenance from geospatial workflows and finding effective ways to use this …

Utilizing Web-Based Gis Applications For Spatial Analysis Of Real Estate Appraisal Data, Esther Bowlin

Geography and the Environment: Graduate Student Capstones

Internet-based map applications have become a widely implemented GIS tool, and by most estimations, will experience continued growth over the coming years. The real estate industry is particularly well positioned to capitalize on the boom of web mapping technologies as real estate is a largely spatial discipline. To fulfill the marketing objectives of a real estate appraisal firm, a web-based mapping application was developed to execute simple spatial analysis tasks. The application is capable of analysis tasks such as heat mapping and includes geolocation services as well as coordinate conversion. All processes are executed within the Google Map API and …

Who, What And Why: A Statistical And Geospatial Analysis Of The Development Of The Marcellus Shale In West Virginia, Erin Sevatson

Geography and the Environment: Graduate Student Capstones

Over the last decade, the Marcellus Shale in West Virginia has seen a rapid rise in exploitation of resources. The boom is undeniable but the reasons behind the success stories remain debatable. What factors have led to successes for operators in the Marcellus Shale in West Virginia? Statistical and spatial analysis can aid in making that determination. Statistical analysis will focus on correlating leased acreage numbers to drilled and producing well data to demonstrate the correlation between leased acres and number of wells. Spatial Analysis will be used to determine the areas with the highest prevalence of drilled and producing …

Predicting Toucan Locations In Panama Using Arcgis, Daniel J. Herrera

Geography: Student Scholarship & Creative Works

Toucans are omnivorous birds native to southern Latin America and South America. They are non-migratory, and their range is disputed among experts. In an attempt to develop a better understanding of the range and behavior of toucans, correlations between toucan presence and geographic features of the area were analyzed to create a location probability map.

Habitat Selection Of Wolverines: A Geospatial Analysis Of Wolverine Movements In Southwest Montana, Bryn Karabensh

Geography and the Environment: Graduate Student Capstones

Wolverine research in the contiguous United States is not abundant and understanding of the ecology of this species is not fully understood in this ecosystem. Specifically lacking in research is data regarding wolverine movements. This paucity of data and analysis inhibits the ability to effectively develop and implement conservation and management strategies. This paper seeks to identify patterns and habitat preferences of wolverines with respect to their movements. Specifically, do they avoid roads and clear-cuts zones from timber harvest and do they display a preference to topography features during movements? Using GPS locations of wolverines a regression analysis was applied. …

Selection Of A Reanalysis Meteorological Product For Use In Solar Resource Assessment, Anthony Lopez

Geography and the Environment: Graduate Student Capstones

The U.S. Department of Energy’s National Renewable Energy Laboratory and collaborators are updating the National Solar Radiation Database with the next-generation satellite-based solar resource assessment known as the Physical Solar Model (PSM). This is part of an effort to achieve NREL and DOE’s goal to make solar energy technologies cost competitive with other forms of energy in the United States. Required in this effort is the selection of an appropriate meteorological reanalysis product- that provides critical inputs for solar energy estimation. This analysis quantitatively and qualitatively assessed the spatial and temporal accuracy of three meteorological reanalysis products using ground measurements. …

Building A Better Model: Variable Selection To Predict Poverty In Pakistan And Sri Lanka, Marium Afzal, Jonathan Hersh, David Newhouse

Economics Faculty Articles and Research

Numerous studies have developed models to predict poverty, but surprisingly few have rigorously examined different approaches to developing prediction models. This paper applies out of sample validation techniques to household data from Pakistan and Sri Lanka, to compare the accuracy of regional poverty predictions from models derived using manual selection, stepwise regression, and Lasso-based procedures. It also examines how much incorporating publically available satellite data into the model improves its accuracy. The five main findings are that: 1) Lasso tends to outperform both discretionary and stepwise models in Pakistan, where the set of potential predictors is large. 2) Lasso and …

Evaluating User Interaction With A Web-Based Group Decision Support System: A Comparison Between Two Clustering Methods, Martin Swobodzinski, Piotr Jankowski

Geography Faculty Publications and Presentations

Task-Technology Fit theory and the Technology Acceptance Model identify system utilization as an important indicator for the performance of complex software systems. Yet, empirical evaluations of user interaction with group decision support systems are scarce and often methodologically underdeveloped. For this study we employed an exploratory evaluation of user interaction in the context of web-based group decision support systems. Specifically, we used information-rich server logs captured through a web-based platform for participatory transportation planning to identify groups of users with similar use patterns. The groups were derived through multiple sequence alignment and hierarchical cluster analysis based on varying user activity …

Spatial Patterns Of Drought Persistence In Xinjiang (A.R), China, Guzhaliayi Sataer

Masters Theses

Droughts have become one of the crucial hazards affecting Xinjiang, Northwest China, the biggest agricultural province and an important area for the grazing husbandry industry in China. Investigations about droughts in Xinjiang have been conducted from various perspectives by previous researchers. However, there are very few studies that focus on drought persistence and seasonal drought frequency. These issues are particularly important as they influence water resource management and forecasting, crop yields, agricultural development and energy consumption. Seasonal drought persistence describes how well drought conditions persist from one season to next season and is expressed as probability of persistence. In this …

Using Spatiotemporal Methods To Fill Gaps In Energy Usage Interval Data, Kristin K. Graves

Theses and Dissertations

Researchers analyzing spatiotemporal or panel data, which varies both in location and over time, often find that their data has holes or gaps. This thesis explores alternative methods for filling those gaps and also suggests a set of techniques for evaluating those gap-filling methods to determine which works best.

Mountain Passes And Saddle Points, James Bisgard

All Faculty Scholarship for the College of the Sciences

Variational methods find solutions of equations by considering a solution as a critical point of an appropriately chosen function. Local minima and maxima are well-known types of critical points. We explore methods for finding critical points that are neither local maxima or minima, but instead are mountain passes or saddle points. Criteria for the existence of minima or maxima are well known, but those for mountain passes or saddle points are less well known. We give an accessible treatment of some criteria for the existence of such points (including the mountain pass lemma), as well as describe a method that …

Monitoring Invasive Plant Species: Summer Internship At Habitat Wildlife Sanctuary, Belmont, Massachusetts, Holly M. Zanoni

Sustainability and Social Justice

Habitat Wildlife Sanctuary, located in Belmont, Massachusetts is a dynamic suburban sanctuary that effectively upholds Mass Audubon’s three-part mission of advocacy, conservation, and education. Invasive plants threaten ecological integrity; however, proactive measures are taken to mitigate further encroachment. This is accomplished by surveying and taking inventory for presence of invasive species, then prioritizing them, and finally by incorporating high priority species into the immediate management strategy. Four invasive plants were formally analyzed using geographic information science during the 2014 growing season: Garlic mustard, Black swallowwort, Japanese knotweed, and Dame’s Rocket. The resulting density maps detected pattern changes from 2011, 2012, …

State Of Texas: Ten Largest Billboard Company Sign Locations, Brad Henley, Daniel Unger

Bright Ideas Conference

Spatial analysis of the ten largest billboard company sign locations in Texas. The analysis was undertaken in conjunction with SFA's billboard campaign to increase enrollment. Results indicate visually that the majority of billboards in Texas are within close proximity to major metropolitan areas.

Analysis Of Spatial Variability Of Near-Surface Soil Moisture To Increase Rainfall-Runoff Modelling Accuracy In Sw Hungary, P. Hegedüs, S. Czigány, E. Pirkhoffer, L. Balatonyi, Robert Hickey

All Faculty Scholarship for the College of the Sciences

Between September 5, 2008 and September 5, 2009, near-surface soil moisture time series were collected in the northern part of a 1.7 km2 watershed in SWHungary at 14 monitoring locations using a portable TDR-300 soil moisture sensor. The objectives of this study are to increase the accuracy of soil moisture measurement at watershed scale, to improve flood forecasting accuracy, and to optimize soil moisture sensor density.

According to our results, in 10 of 13 cases, a strong correlation exists between the measured soil moisture data of Station 5 and all other monitoring stations; Station 5 is considered representative for the …

Hickory Creek Orchard Feasibility Study, Brad Henley

Undergraduate Research Conference

Does land in East Texas host desirable soil types for developing large acreage into nut-bearing orchards?

Geospatial Analysis Of Smart Growth And Transit Oriented Developments, Michelle J. Nichols

Geography and the Environment: Graduate Student Capstones

Rapid population growth, water and air pollution, overloaded public services, and traffic congestion can stress economies and result in unsustainable communities. Geographic Information Science (GIS) is a valuable technology for reversing negative these types of trends by identifying areas that may presently exhibit Smart Growth characteristics. Rather than expand on the current transportation infrastructure and develop new Smart Growth communities, San Diego Metropolitan’s Transit System (SDMTS) intends to use this study to review the current transit routing infrastructure in an effort to support communities exhibiting Smart Growth potential. Communities along existing transportation infrastructure will analyzed as potential Smart Growth and …

Spatial And Seasonal Responses Of Precipitation In The Ganges And Brahmaputra River Basins To Enso And Indian Ocean Dipole Modes: Implications For Flooding And Drought, M. S. Pervez, G. M. Henebry

Natural Resource Management Faculty Publications

We evaluated the spatial and seasonal responses of precipitation in the Ganges and Brahmaputra basins as modulated by the El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) modes using Global Precipitation Climatology Centre (GPCC) full data reanalysis of monthly global land-surface precipitation data from 1901 to 2010 with a spatial resolution of 0.5° × 0.5°. The GPCC monthly total precipitation climatology targeting the period 1951–2000 was used to compute gridded monthly anomalies for the entire time period. The gridded monthly anomalies were averaged for the years influenced by combinations of climate modes. Occurrences of El Niño alone significantly …

Agenda, Hr Adaptation Forum

January 23, 2015: Storm Surge Modeling Tools for Planning and Response

No abstract provided.

Cultural Implications Of Late Quaternary Environmental Change In Northeastern Texas, Michael B. Collins, C. Britt Bousman

CRHR Research Reports

Northeastern Texas is one of the most intensely studied archaeological regions of the state, principally for the two reasons that (1) archaeologically-rich Caddoan manifestations have long attracted interest and (2) many large land-modifying projects, such as reservoirs and strip mines, have occasioned environmental studies which include investigations of cultural resources. This greater amount of activity relative to other regions in the state has generally prevailed for more than a century (Guy 1990) and prospects are good that archaeologists will continue to intensely research the area in the foreseeable future. Unfortunately, however, they will be hard-pressed to keep pace with the …

Mitigation And Beautification: Placing Rain Gardens In The Keystone Neighborhood Of Rock Island, Illinois, Rosalie K. Starenko

Independent Research Projects

With new stormwater management regulations, cities are looking for strategies to reduce urban runoff, and rain gardens are one of several strategies that capture runoff and encourage infiltration and evaporation. In doing so, pollution from runoff is mitigated and combined sewer systems experience fewer overflow events. I argue as well that the implementation of rain gardens would act as a movement for neighborhood beautification. This research develops a new methodology for placing rain gardens that: 1) maximizes the aesthetic value of the gardens by favoring high-visibility locations and 2) targets locations that would best benefit from reduced stormwater runoff. The …

St. Norbert College As Arboretum: Mapping The Trees On Campus, Jordan A. Mayer, Jason Mills, David Hunnicut

GIS Library

St. Norbert College as Arboretum: Mapping the Trees on Campus - Take a virtual tour of the trees on campus.

The tour is a multimedia ArcGIS Online story map and is available here.

Many of the trees on the St. Norbert Campus were planted by Fr. Anselm Keefe (1895- 1974) in the mid 20th century. It was Fr. Keefe’s vision to beautify the campus by creating gardens that were accessible to the public. This included planting a diverse variety of trees, including one of every tree species native to Wisconsin. It was Keefe’s mission to make St. Norbert College …

Pedestrian Mobility In Denver: A Mixed Methods Approach, Meghan Elizabeth Mooney

Electronic Theses and Dissertations

This research is rooted in the bigger issues of climate change, urban sustainability, and the drive to make Denver more pedestrian centered despite sprawled conditions. More specifically, this research is driven by (1) the need for a holistic, multi-dimensional, and mixed geographic perspective of pedestrian mobility, (2) the lack of qualitative data regarding pedestrian mobility and (3) a need for a better understanding of the feedback between physical and perceived space and how this influences walking behavior. Given these motivations, I deploy a multidimensional framework for assessing pedestrian mobility in Denver’s Transit Oriented Development (TOD) sites, whereby there are two …

Integrating Hands-On Undergraduate Research In An Applied Spatial Science Senior Level Capstone Course, David Kulhavy, Daniel R. Unger, I-Kuai Hung, David Douglass

Faculty Publications

A senior within a spatial science Ecological Planning capstone course designed an undergraduate research project to increase his spatial science expertise and to assess the hands-on instruction methodology employed within the Bachelor of Science in Spatial Science program at Stephen F Austin State University. The height of 30 building features estimated remotely with LiDAR data, within the Pictometry remotely sensed web-based interface, and in situ with a laser rangefinder were compared to actual building feature height measurements. A comparison of estimated height with actual height indicated that all three estimation techniques tested were unbiased estimators of height. An ANOVA, conducted …

Procedural Modeling For Ancient Maya Cityscapes: Initial Methodological Challenges And Solutions, Heather Richards-Rissetto, Rachel Plessing

Department of Anthropology: Faculty Publications

Digital reconstruction of 3D cityscapes is expensive, time-consuming, and requires significant expertise. We need a 3D modeling approach that streamlines the integration of multiple data types in a time-efficient and low-cost manner. Procedural modeling—rapid proto-typing of 3D models from a set of rules— offers a potential solution to this problem because it allows scholars to create digital reconstructions that can be quickly updated and used to test and formulate alternative hypotheses that are derived from and linked to underlying archaeological data. While procedural modeling is being used to visualize ancient Roman, Etruscan, and Greek cities, in the Maya region the …

Social Space And Social Media: Analyzing Urban Space With Big Data, Ate Poorthuis

Theses and Dissertations--Geography

This dissertation focuses on the key role that big data can play in minimizing the perceived disconnect between social theory and quantitative methods in the discipline of geography. It takes as its starting point the geographic concept of space, which is conceptualized very differently in social theory versus quantitative methodology. Contrary to this disparity, an examination of the disciplinary history reveals a number of historic precedents and potential pathways for a rapprochement, especially when combined with some of the new possibilities of big data. This dissertation also proposes solutions to two common barriers to the adoption of big data in …