• Monitoring urban land-use trends using remote sensed imagery and GIS for the Tucson, Arizona metropolitan region

      Danloe, John; Labadie, Philippe-Luis; Psillas, Jen; Lukinbeal, Chris (The University of Arizona., 2016-12-18)
      This project demonstrates the usefulness of using remotely sensed imagery in conjunction with GIS for urban studies. Utilizing 1-meter high-resolution imagery and GIS, this project provides land-cover change statistics and spatial variables describing new urban development. Statistics of land-cover change were used to quantify the amount of new urban development in acreage. The project then employed a global logistic regression to determine the significant topographic variables influencing the new urban development. The project focused on urban growth from 1998 to 2010 for the Greater Tucson Metropolitan Region. These methods provide accurate and useful information for quantifying urban growth.
    • New method to identify illegal uses of water by using remote sensing and neural network in Laguna de Aculeo, Chile

      Sanchez Trigueros, Fernando; Venegas-Quiñones, Héctor L. (The University of Arizona., 2022)
      The Aculeo lagoon basin has been declared an emergency drought place, limiting water usage strictly for domestic use. Chile's laws impose economic sanctions on individuals who use water resources to irrigate grass in these places. This project evaluates the healthy lawn condition in a specific dry season (period without rain events) to identify the areas that have potentially been using the water resource illegally by using multi-spectral and multitemporal free satellite data at the Aculeo lagoon basin. We derive different soil indices, the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Green Normalized Difference Vegetation Index (GNDVI), Soil Adjusted Vegetation Index (SAVI), Normalized Difference Moisture Index (NDMI), Moisture Stress Index (MSI), and Bare Soil Index (BSI) during October 2021 to April 2022. Also, we perform a cluster analysis to evaluate the statistical distribution of healthy vegetation cover. All the results are available in an ArcGIS interactive web map. This research proves some properties have probably used water to irrigate lawns because their health has maintained or increased over time. Thus, we estimate the lawn areas in the basin and their water consumption to illustrate how much water has been used illegally. In addition, the cluster analysis demonstrates a consistent pattern of healthy vegetation covers, concluding that these groupings are unusual compared to the entire basin. We present tools and protocols to be used in areas of water scarcity to identify locations that use the water resource illegally, helping governmental authorities to accomplish personal inspections and impose legal sanctions.
    • The Northern Chaco Outliers Project: Surface Hydrology of the Lakeview Community

      Korgaonkar, Yoga; Grundvig, Jeremy (The University of Arizona., 2022-04-28)
      Farming was introduced and thrived in the high desert of the four-corners region since ca. A.D. 500. As subsistence patterns shifted from hunting and gathering to a more sedentary lifestyle based on agriculture, access to reliable water sources became increasingly crucial. Utilizing ESRI’s ArcGIS Pro, a Geographical Information System (GIS), I look at the surface hydrology of an ancestral Pueblo community in southwest Colorado using Digital Elevation Models (DEMs), to calculate the path and velocity of the community’s watershed. Using higher resolutions DEMs which have become available from the United States Geological Survey (USGS), I calculate the watershed using DEMs derived from 30-meters, 10-meters and 1-meter. The results are aiding researchers at Crow Canyon Archaeological Center to better understand ancestral inhabitants’ environments by providing models to aid in investigations to include stream flow, historic route changes, possibly water control features, seep spring locations, and agriculture potential. The various DEMs are used to delineate a watershed under 100 square kilometers, focusing on the Lakeview Community. The differing results display how the 30-meter resolution provides insight to prehistoric stream routes while detailed resolutions aid in the investigation of natural springs and the hydrologic impacts of historic irrigation projects. The results are part of a long-term environmental study to better understand how ancestral inhabitants used their terrain and resources and whether a community’s location intentionally sought to take advantage of local hydrology, arable soil or other factors.
    • Opioid Treatment Accessibility in Maricopa County, Arizona: A Network Analysis of Certified Opioid Treatment Programs and Buprenorphine Providers

      Sanchez-Trigueros, Fernando; Jacobs, Amanda (The University of Arizona., 2020-05)
      The United States opioid epidemic has been at the forefront of national response efforts. Despite tightening regulations on opioid prescribing, opioid addiction continues to be problematic. This study was designed to analyze opioid treatment accessibility in Maricopa County, Arizona, one of the most populous counties in the U.S. Based on data from the Substance Abuse and Mental Health Services Administration, 656 buprenorphine providers and 182 certified opioid treatment center locations in Maricopa County were incorporated to evaluate for treatment accessibility. Using GIS network analyst tools, distance to the closest treatment location was determined for each Maricopa County census tract. To further visualize accessibility, 2.5, 5, and 10-mile service areas were also located. The analysis demonstrated route distances increased moving outwards from the urban city areas of Maricopa County. Likewise, service areas also tended to branch outward from the urban city core. Spatially, rural areas are disproportionately impacted with regards to opioid treatment accessibility and populations living in these areas are at higher risk for encountering barriers to opioid treatment. These findings provide key information that may assist in population health outreach services and potentially useful data for public health policy efforts aimed at improving access to opioid addiction treatment.

      Mason, Jennifer; Bacon, Thomas (The University of Arizona., 2022-05)
      Violent crime has risen sharply in Minneapolis in the last two years and with that, youth and teenagers as young as 13 years old participating in violent crime has also seen a sharp increase. With on-going teacher strikes, remote learning, and other factors allowing youth more opportunity to be out of school, Minneapolis can greatly benefit from the implementation of a new community center. Attempting to solve this problem comes with a twofold approach of an overlay analysis, analyzing socio-economic factors, currently occupied and vacant public institutions, and relative crime per neighborhood – then using these same variables with a weighted overlay analysis. The simple overlay approach indicates that a community center would be optimally placed in Northeast Minneapolis however, it should be noted that the relative crime there is far lower than any location the weighted overlay would result in. The results from the weighted analysis are far more practical than the results of the simple overlay would suggest, having more possible locations in North and South Minneapolis. It would be beneficial to talk to community stakeholders and gather their opinion for influence on the weighted overlay for future iterations of this research.
    • Protecting Ka Mo'omeheu O Hawai'i: A Cultural Resources Risk Assessment

      Sanchez, Fernando; Ruddell, Kasiah (The University of Arizona., 2021-08)
      Archaeological and historic sites are important to contemporary societies all over the world, especially to peoples like the Kanaka Maoli, or Native Hawaiians, who have suffered the attempted theft of their culture and identity. The Hawaiian Island of Oahu is rich with cultural resources including over 2,000 archaeological and historic sites. Oahu is the most populated and industrial of the Hawaiian Islands and is not escaping climate change caused sea level rise and coastal erosion, so these sites are at risk of being damaged or lost. With so many cultural resources, it is difficult to discern what threatens each site via standard observation and field methods. In this study, a Cultural Resources Vulnerability Index is used to determine the level of risk for cultural resource sites on Oahu. This index combines both coastal vulnerability and anthropogenic risk factors as well as position on the island to provide a risk ranking. Coastal vulnerability includes flood zones, sea level rise, coastal erosion, elevation, and slope and anthropogenic factors include location in State Land Use Districts, population density, and air pollution. With such a rich density of cultural resources, this study illustrates how GIS can be used to examine multiple risks and ultimately ascertain which sites need immediate action. Lastly, a dashboard application is used for easy visualization of the results.

      Korgaonkar, Yoga; Pober, Rachel (The University of Arizona., 2022-05-02)
      Proximity to a water source has been a consistent environmental variable used in predictive modeling of archeological site locations. Currently, there is limited research that has been done to quantify the relationship between water sources and archeological site locations. The Sand Hollow area, located in Southern Utah, has had many modern construction projects consisting of roadway expansions, a reservoir, and golf courses. These projects required compliance with Section 106 consisting of mitigation measures using archeological excavation. With these required excavations, the Sand Hollow area provides a robust dataset of archeological sites. Thus, the Sand Hollow area is used as a case study to research if there is a correlation between hydrologic features and archeological sites using GIS. Sand Hollow reservoir was constructed in June 2000. A Digital Elevation Model (DEM) was downloaded from February 2000 to remove impacts from modern construction of the reservoir on the derived hydrologic features. To quantify the relationship between archeological sites and hydrologic features, buffer zones at 100, 200, 300, 400, 500, and >500 meters from hydrologic features are created. The chi-squared test is used to compare the observed to the expected relationship between archeological sites and hydrologic features. Through these methods, archeological sites were found to have a significant relationship to hydrologic features within the study area. The archeological dataset from Shifting Sands is divided into three time periods of Archaic, Anasazi, and Late Prehistoric. Using the chi-squared test, the Anasazi period has the most significant relationship to hydrologic features.
    • Recent Violent Crime Dynamics and Spatial Patterns in Albuquerque, New Mexico

      Sanchez-Trigueros, Fernando; Schiffer, Dustin (The University of Arizona., 2019-12)
      This project is an analysis of violent crime in the City of Albuquerque, New Mexico. In 2014, the DOJ opened an investigation into the Albuquerque Police Department (APD) which resulted in APD’s officer numbers dwindling, and making the officers that stay afraid to use their entire tool and skill set. This project uses raw data retrieved directly from APDs API to detect historical and geospatial patterns in Albuquerque crime data. It also uses complimentary data sets such as current station placement, and school locations. Using a Pareto (80/20) analysis, violent crimes were clustered together for an analysis on incident counts within a quarter mile of schools, and how far away the higher incident count buffers are from current stations. Space-Time (time-cube) analysis was applied with violent crime dates to identify areas that may be experiencing new patterns. The results were compared to the overall data that has been touted by the current city administration. This administration has claimed that crime numbers are going down. The results in this project, however, contradict these claims. The workflow and results described in this report will help identify areas that may require more extensive attention from law enforcement agencies in Albuquerque.

      Mason, Jennifer; Strobin, Georgianna (The University of Arizona., 2022-04-28)
      Floods pose an acute risk to transportation networks and impose large costs on travelers. A twenty-mile section of Interstate 5 (I-5) was forced to close on January 7th, 2022, when rising floodwaters from the Chehalis, Skookumchuck, and Newaukum Rivers threatened to cover the highway. Many travelers and residents were unable to reach their destinations and alternate routes quickly became congested. This retroactive analysis investigated the total cost of the flood closure using traffic counts from permanent traffic recording stations, AAA’s estimated cost per mile of operating a vehicle for 2021, and the standard velocity equation—time equals distance divided by velocity—to solve for time cost. Through a GIS-based network analysis, two unique alternative routes are identified and time and mileage costs for travelers are calculated. Route One costs $151.97 while Route Two costs $160.67 in time per vehicle. Respectively, the routes cost $103.65 and $114.20 in mileage costs for each vehicle. Additionally, two historic Washington State Department of Transportation (WSDOT) detour routes are compared in time and mileage costs. Historic Route One costs $266.10 in mileage and $703.94 in time. Historic Route Two is much more expensive at $338.10 in mileage and $1,136.47 in time. The total cost of the flood closure was $924,950. With only one direct route to access so many destinations, it continues to be vitally important to increase access to urban and rural destinations during flood disasters.
    • Seattle Crime

      Sanchez, Fernando; Bieler, Alec (The University of Arizona., 2022)
      The purpose of this Master Report is to spatially analyze violent crime rates in Seattle in 2020 to determine common demographic or locational relationships. I will be testing population subsets, number of households, mandatory affordable housing zones, unwanted land, and police station locations against crime using various types of analysis including spatial regression, heat maps, and bivariate maps. The data comes from Seattle City GIS including base map layers and 3,300 violent crimes. Population data came from the US Census Bureau. Preliminary results show a strong relationship between mandatory affordable housing and increased crime rates.
    • Selecting Prospective Sites for Future Riparian Areas in Arizona

      Korgaonkar, Yoga; Rhodes, Patrick (The University of Arizona., 2022-04-28)
      Within the desert areas of Arizona, riparian habitat attracts a diverse range of flora and fauna, concentrating their populations along the banks of streams and washes. Due to a variety of factors over the past century, these areas have degraded in size and quality, resulting in a loss of native vegetation and wildlife habitat. Ultimately, if this trend is to be reversed, one approach might be to create new, artificial riparian areas. To achieve that, suitable, non-riparian locations must first be identified for possible conversion into prospective riparian zones. Hence, the goal of this project is to perform a suitability analysis to locate tracts of land within Arizona which might be suitable for riparian conversion. Issues such as water rights, engineering, and funding are not covered in this paper. Several spatial criteria were identified as indicators for success, including land ownership, flooding potential, fire potential, length of streams/washes, proximity to human development and current habitat. Many geographic datasets were utilized to produce maps showing these locations, according to their ability to apply these criteria. Further, once these locations were identified, a historical analysis was performed to show the vegetative health of each area over time, as well as potential rainfall metrics, both of which provided detailed indicators of success. The results revealed several tracts of land in disparate areas which fulfilled all criteria and could be considered for Arizona riparian habitat conversion projects.
    • Site Suitability Analysis for a Land Conservation Easement in El Paso, Texas

      Korgaonkar, Yoga; Van Essen, Daniel (The University of Arizona., 2022-05-02)
      The Chihuahuan desert is an ecologically diverse landscape and the largest desert in North America, covering parts of New Mexico, Texas, and northeastern Mexico. Urbanization, overgrazing, and water depletion threatens the viability of this ecosystem. For the protection of this desert and the wildlife and waterways within it, land conservation is integral. One land conservation strategy is the establishment of a land conservation easement. This type of easement is a voluntary agreement with a non-profit organization or government agency that prevents development and specifies best practices within the easement while the owner of the land maintains ownership. In response to the need of land conservation, this study utilizes a multi-criteria evaluation with weighted overlay technique to identify suitable and ecologically valuable land for a land conservation easement in El Paso County, Texas. Criteria for suitability was developed with Frontera Land Alliance, a non-profit conservation organization. GIS software was utilized to implement the multi-criteria evaluation with weighted overlay technique and map suitable conservation land in El Paso County. This study ranks all land within El Paso County based on a scale of five with one being the least suitable land and five being the most suitable land. Approximately 77,916 acres of land, equating to 12 percent of the land within El Paso County was ranked as a five in terms of high suitability. This study identifies the twenty-five most suitable parcels for a land conservation easement. The results of the study will help Frontera Land Alliance identify the most suitable parcels to pursue acquisition for a land conservation easement.
    • A Site Suitability Analysis to Reduce Lead Poisoning Through Small-Scale Retail in Syracuse, NY

      Mason, Jennifer; Hernandez, Erika (The University of Arizona., 2022-05)
      Syracuse, New York has been fighting an uphill battle against lead. It’s in their homes, soil, and water and disproportionately affects lower-income communities. Children are especially sensitive before the age of 6, experiencing decreased cognitive function, reduced motor control, developmental disabilities, and death, among others. 12 percent of children in Syracuse tested positive for elevated blood lead levels, four times the national average. Diet can help combat lead contamination by increasing iron levels. Iron and lead bind to the same transport protein in the small intestine where metals are absorbed into the bloodstream. With only 77 grocery stores to cover 25.5 square miles and over 140,000 people, Syracuse’s residents may rely on convenience stores, dollar stores, and fast-food restaurants to pick up the slack. Combating food insecurity may be possible by targeting food deserts and increasing access to healthy foods. To find the areas where small-scale retail would benefit the most, a Boolean Suitability Analysis was used to find food deserts using poverty levels, minority status, population density, existing grocery stores, and vacant lot parcel data. A Weighted Linear Combination Suitability Analysis found the locations that ranked higher for the intersection of food deserts, childhood elevated blood lead levels, current lead violations, and tracts with high numbers of children under 5-years-old. Of the 165 locations from the resulting analysis, 65 locations ranked between medium and high suitability. This analysis will help local officials, community leaders, and non-profit organizations determine where to combat food deserts and elevated blood lead levels in children.

      Mason, Jennifer; Wiens, Anastiaza (The University of Arizona., 2022-05-03)
      As the United States shifts to a greener mindset, going away from fossil fuel power has been an increasingly popular choice to cut down on greenhouse gas emissions. One method that provides more power and efficiency on a larger scale is nuclear. As technology has evolved and improved nuclear power, these power plants can be built smaller and are more efficient than the nuclear power plants built 20-40 years ago. In this study, GIS analyses were used to find suitable areas in the Western U.S. for siting a new nuclear power plant. This will produce a map including rankings of most suitable, suitable, and not suitable sites. The most suitable areas will contain no geological hazards, population density of less than 500 persons per square mile, and within a mile of perennial bodies of water. The ranking of suitable will include areas that contain everything in the most suitable ranking except no bodies of water. The not suitable areas contain geohazards, a population density of more than 500 person per square mile and have no water. The resulting percentages are the most suitable areas account for 1.17% of the study area, the suitable areas account for 22.45% of the study area, and the not suitable areas make up 76.38% of the study area.
    • Socioeconomic status and land cover as predictors of the urban heat island effect in Tempe, Arizona

      Sanchez Trigueros, Fernando; Madigan, Sean (The University of Arizona., 2021)
      Developed land emits heat more effectively than rural land. This results in an urban heat island effect, where cities have hotter temperatures than surrounding rural areas. Urban heat islands pose a public health risk in many cities and especially affect areas of lower socioeconomic status, where people are more vulnerable to extreme heat conditions. The Phoenix Metropolitan Area in Arizona is one of the fastest growing metropolitan areas in the United States and regularly experiences extreme heat in the summer. Tempe, a city within the metropolitan area, has outlined a plan to decrease the urban heat island effect by increasing tree cover to 25% by 2040. Landsat 8 OLI/TIRS satellite imagery was used to estimate land surface temperature (LST), a measure commonly associated with urban heat island effects. A land cover classification and US Census data were used to predict mean LST in Tempe. Exploratory regression and spatial regression identified a six-variable model with increases in mean household income, college population, grass land cover, and water cover all decreasing mean LST, while increases in urban land use and a spatial lag variable increased mean LST. Although overall estimates of tree cover were 23% of the land surface, estimates were high as the classification model overestimated tree cover due to the spatial resolution of the Landsat 8 sensor. Results suggest that although Tempe has made progress in its goal, there are discrepancies between areas of differing socioeconomic status.
    • Southern Sierra Nevada Backpacking Route Planner

      Sanchez Trigueros, Fernando; Dufour, Hilary (The University of Arizona., 2021-08-15)
      The process for planning backpacking trips in California’s Sierra Nevada mountain range takes into account a multitude of geographic data, which is dispersed across multiple sites. This dispersal makes the process laborious. Wilderness permits are linked to trailheads and reserved online through Recreation.Gov or Yosemite Conservancy, which lack sufficient spatial information required for planning. I developed an ArcGIS WebAppBuilder application for backpacking route planning in the Inyo National Forest, Yosemite, Kings Canyon and Sequoia National Park. The application was developed through data gathering and vetting, geoprocessing and digitizing, use of geometric networks, Arcade expressions, Python, web maps and WebAppBuilder. Data is centralized from various sources and enhanced in ways that make it easily consumable in a web application format. Widgets are utilized for simple filtering and viewing of layers such as trails and trailheads. It is a much-needed solution for planning wilderness travel in the Southern Sierra Nevada.
    • A Spatial Analysis of Community Development in Arizona from Seed Grants

      Christopherson, Gary; Herndon, Carly (The University of Arizona., 2017-12)
      Agricultural crop diversity in the Southwest has diminished significantly over the past hundred years. A local nonprofit in Tucson by the name of Native Seeds/SEARCH (NS/S) aims to conserve Southwestern crop diversity for the sake of keeping indigenous culture alive, improving food security, and to nourish a changing world. One way NS/S works towards these goals is to freely distribute seeds through their Community Seed Grant (CSG) program. The CSG program supports educational, food security, and community development projects in the Greater Southwest region. These seed donations are meant to serve underprivileged groups, including but not limited to Native American and Hispanic individuals as well as areas with high poverty rates. These populations are among some of the most food insecure in the region. This study analyzes the successfulness of the CSG program by measuring if intended audiences are being awarded CSGs. Summary statistics suggests that CSGs are in areas with higher than average Hispanic and Native American individuals as well as individuals living below the poverty line. A logistic regression was also done to spot correlations between target areas and where the seeds were sent. This analysis suggests that seed grants favor areas with higher percentages of Hispanic and Black or African American individuals as well as areas with higher poverty rates. This study will help NS/S perform more targeted marketing and assistance about the program as well as show potential and current funders the outcomes of the CSG program.
    • Spatial Relationship between Demographics and Brownfields in Philadelphia County, Pennsylvania

      Mason, Jennifer; Lowden, Meredith (The University of Arizona., 2022-05-04)
      The city of Philadelphia, Pennsylvania is the sixth largest city in the United States and resides within Philadelphia County. There is a large population within a small area, which can make environmental contamination more impactful to the population. Environmental contamination sites known as brownfields, are common throughout Philadelphia County, which many residents may not realize exist. This project focused on analyzing the spatial relationships between environmental contaminated sites and demographics at the county level. Bivariate and choropleth analysis were used as a way to understand the relationships. Three demographics were used including race, poverty percentage, and median household income. The African American or Black population is greatest in Philadelphia and is also the population with the highest percentage of poverty. In addition, median household income became important as the county has a below average income per household compared to the United States average. When looking at the distribution of brownfields throughout the county it appears that there are an abundance of locations, but when looking at the locations within each census tract, there are only a few tracts with more than 20 locations per area. Both bivariate maps that show the relationship of brownfields versus poverty status and median household income show similar results. African American population and brownfields showed a different relationship, but all three relationships showed at least one census tract where both variables were high. Understanding environmental injustice will help bring awareness and force policy members to address change in communities.
    • A Spatio-Temporal Change Analysis of Shorebird Habitat Using Remote Sensing at Stillwater National Wildlife Refuge, NV

      Korgaonkar, Yoga; Ontiveros, Chelsea (The University of Arizona., 2022)
      Stillwater National Wildlife Refuge provides critical wetland stopover habitat for thousands of breeding and non-breeding migrating shorebirds during the spring and fall seasons. Habitat loss and degradation at the refuge due to climate change and human activities are of great concern to shorebird conservation groups. Evaluations of critical habitat features utilizing GIS can be leveraged as powerful, cost-effective tools in shorebird conservation and management efforts. In this study, three years (2001, 2011, and 2019) of remote sensing data captured during the fall season were analyzed for changes in select land cover factors impacting quality of shorebird habitat: presence of surface water using the Modified Normalized Difference Water Index (MNDWI), preferred land cover types, food and shelter availability using Normalized Difference Vegetation Index (NDVI), and human disturbance using impervious surface data. Results successfully detected temporal changes in many of the select environmental factors, including sizeable increases in NDVI and MNDWI results, both in value and spatial distribution, and notable transitions between land cover classes and their represented areas. Findings support the ongoing habitat conservation efforts at the refuge and demonstrate the use of remote sensing and GIS techniques in monitoring land cover conditions related to vital migratory shorebird habitat.
    • A Spatiotemporal Exploratory Analysis of Assault Crimes Near Portland's TriMet Public Transportation Network

      Sánchez-Trigueros, Fernando; Shigeta, Robert (The University of Arizona., 2021-08-17)
      Portland’s public transportation system, TriMet, is an extensive network of buses, light rail, and streetcars. Millions of passengers ride on the transit system every year. Likewise, each year thousands of people are victims of violent crimes in public spaces throughout the city. A geospatial analysis of assault crimes may offer law enforcement an invaluable tool for examining the spatial patterns of assaults. This project is a spatiotemporal exploratory analysis of assault crime near transit nodes in Portland, Oregon. The analysis calculates location quotients for aggravated assaults, simple assaults, and intimidation assaults at the macro, meso and micro levels. Location quotients measure the concentration of each offense type in buffered areas around transit nodes relative to the surrounding area at each level of the analysis. Location quotients at the macro level for each offense type in each year of the study period were between 2.4 and 2.8, indicating assault crime concentrations were approximately two and a half times to nearly three times higher in areas within 500 feet of the transit system throughout the entire city. The results of the macro analysis suggest that a spatial relationship exists between Portland’s public transportation network and locations of assault crimes. Results of the meso and micro levels varied considerably between neighborhoods and intersections, suggesting other underlying factors should be studied.