Matching Items (24)

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The Development of Hydroelectric Power in Chilean Patagonia

Description

The goal of this thesis was to implement a GIS tool to help identify potential locations for hydroelectric power projects in Patagonia, Chile that are in accordance with environmental and

The goal of this thesis was to implement a GIS tool to help identify potential locations for hydroelectric power projects in Patagonia, Chile that are in accordance with environmental and social impact assessments. I first identified river basins with high hydropower potential and then assigned weighted values to those basins, in order to minimize the displacement of indigenous populations, damage to archaeological and historical sites, and identify regions with the lowest threat to biodiversity. I used the weighted overlay tool as a decision support system to balance the competing environmental and social interests in relation to hydroelectric development in Patagonia. The results identified 5 sites that are the highest scores among all factors. This work indicates that GIS data and decision support systems can help provide useful information for the decision makers.

Contributors

Created

Date Created
  • 2018-05

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YOU GOT GIS: GEOSPATIAL DATA, SIMPLIFIED FOR 501(c)3 NONPROFITS

Description

The contemporary world is motivated by data-driven decision-making. Small 501(c)3 nonprofit organizations are often limited in their reach due to their size, lack of funding, and a lack of data

The contemporary world is motivated by data-driven decision-making. Small 501(c)3 nonprofit organizations are often limited in their reach due to their size, lack of funding, and a lack of data analysis expertise. In an effort to increase accessibility to data analysis for such organizations, a Founders Lab team designed a product to help them understand and utilize geographic information systems (GIS) software. This product – You Got GIS – strikes the balance between highly technical documentation and general overviews, benefiting 501(c)3 nonprofits in their pursuit of data-driven decision-making. Through the product’s use of case studies and methodologies, You Got GIS serves as a thought experiment platform to start answering questions regarding GIS. The product aims to continuously build partnerships in an effort to improve curriculum and user engagement.

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Created

Date Created
  • 2021-05

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Developing a Tool to Identify Locations for Renewable Energy Potential

Description

Shifting to renewable energy from fossil fuels is not occurring rapidly. Determining where to locate renewable power plants could help expedite development. The project discussed here uses a GIS ranking

Shifting to renewable energy from fossil fuels is not occurring rapidly. Determining where to locate renewable power plants could help expedite development. The project discussed here uses a GIS ranking tool to determine potential locations for solar and wind power plants in Arizona. Criteria include renewable input (irradiance/wind class), topographic slope, and distance from transmission lines. These are ranked and summed to determine areas with the most potential. The resulting outputs show that there is much more potential land for solar development than wind development. Further analysis in this paper will focus solely on solar due to wind's lower potential. Land sensitivity and ownership are used to assess the feasibility of development. There are many groupings of highly ranked land across the state, but the largest stretch of land runs from outside of Marana (south-central Arizona) northwest to about 60 miles west of Wickenburg (central-west). This regions is mainly on BLM, state, and privately owned land. Some of this land is considered sensitive, but non-sensitive areas with high potential are frequent throughout. Renewable potential in other states could be determined using this tool as well. Variables could be weighted or added depending on each area's need.

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Agent

Created

Date Created
  • 2013-05

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The Verde River Watershed: Using Geospatial Web Applications for a Virtual Learning Experience

Description

The COVID-19 Pandemic has provided a challenge for educators to create virtual learning materials that are engaging and impactful during times of high stress and isolation. In this creative project,

The COVID-19 Pandemic has provided a challenge for educators to create virtual learning materials that are engaging and impactful during times of high stress and isolation. In this creative project, I explore the variety of virtual tools and web applications from Esri by creating a Story Map on the Verde River Watershed. This Story Map is intended for an audience of students in late middle school and early high school but can be a resource to teachers for a wider age range. The integration of interactive technology and virtual tools in educational practices is likely to continue past the immediate circumstances of the COVID-19 pandemic. The purpose of this Story Map is to showcase one of the many uses for geospatial web applications beyond the immediate realm of GIS.

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Created

Date Created
  • 2021-05

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Investigating the Relationship between Neighborhood Socioeconomic Status and Proximity to Public Services

Description

With growing levels of income inequality in the United States, it remains as important as ever to ensure indispensable public services are readily available to all members of society. This

With growing levels of income inequality in the United States, it remains as important as ever to ensure indispensable public services are readily available to all members of society. This paper investigates four forms of public services (schools, libraries, fire stations, and police stations), first by researching the background of these services and their relation to poverty, and then by conducting geospatial and regression analysis. The author uses Esri's ArcGIS Pro software to quantify the proximity to public services from urban American neighborhoods (census tracts in the cities of Phoenix and Chicago). Afterwards, the measures indicating proximity are compared to the socioeconomic statuses of neighborhoods using regression analysis. The results indicate that pure proximity to these four services is not necessarily correlated to socioeconomic status. While the paper does uncover some correlations, such as a relationship between school quality and socioeconomic status, the majority of the findings negate the author's hypothesis and show that, in Phoenix and Chicago, there is not much discrepancy between neighborhoods and the extent to which they are able to access vital government-funded services.

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Created

Date Created
  • 2018-05

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Using GIS to Analyze the Effect of Multiple Threats on Caribbean Corals

Description

This thesis utilizes GIS mapping to analyze the severity of four threats: ocean acidification, sea surface temperature, artisanal fishing, and destructive fishing, in conjunction with coral species distribution. This project

This thesis utilizes GIS mapping to analyze the severity of four threats: ocean acidification, sea surface temperature, artisanal fishing, and destructive fishing, in conjunction with coral species distribution. This project produced maps that depicts each of these threats and shows the distribution of its severity. Compiling this data we can see that ocean acidification is the most pressing threat in the Caribbean to coral and that neither type of fishing really has a large effect. A species named Madracis carmabi is also flagged to be of particular concern as it is severely threatened by both ocean acidification and sea surface temperature.

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Created

Date Created
  • 2021-05

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GIS Visualization of New York City Photography Studios, ca. 1830-1880

Description

The humanities as a discipline have typically not used a rigid or technical method of assessment in the process of analysis. GIScience offers numerous benefits to this discipline by applying

The humanities as a discipline have typically not used a rigid or technical method of assessment in the process of analysis. GIScience offers numerous benefits to this discipline by applying spatial analysis to rigorously understand it. Photography studios developed in the mid-19th Century as a highly popular business and emerging technology. This project was initiated by Dr. Jeremy Rowe with support from the ASU Emeritus College Research and Creative Activity and Undergraduate Research Initiative grants, and seeks to use GIS tools to understand the explosive growth of photography studios in the New York City area, specifically Manhattan and Brooklyn. Demonstrated in this project are several capabilities of the ESRI online GIS, including queries for year information, a tool showing growth over time, and a generated density map of photography studios.

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Created

Date Created
  • 2015-05

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Digital Transformation and the Self-Driving Car

Description

Digital transformation can be defined as, “the acceleration of business activities, processes, competencies, and models to fully leverage the changes and opportunities of digital technologies and their impact in a

Digital transformation can be defined as, “the acceleration of business activities, processes, competencies, and models to fully leverage the changes and opportunities of digital technologies and their impact in a strategic and prioritized way,” (Edmead, Mark, and IDG Contributor Network, 2016). Following the industrial revolution, digital transformation has taken shape as the current revolution and innovative process. When industry’s and businesses engage in digital transformation, they create disruption and pave the way for enhanced customer value, efficient operational processes, and innovative business models. The prospect of this thesis is to: (1) understand how digital transformation strategy helps to propel innovation for the self-driving car, (2) understand how this innovation will create value in the grand schema for digital transformation, (3) develop a GIS-based (location analytics) study to understand the market opportunity for such technology and innovation. We outline how digital transformation as a whole represents a modern form of creative destruction, that is rewarding to businesses who engage in transformation for efficiency and innovation, and addresses the implications of those that do not. We discuss how digital transformation has affected the auto industry to invest in innovating self-driving cars. Finally, we perform location analytics to develop an opportunity analysis in five big markets around the Phoenix Metropolitan area in the State of Arizona to identify the potential markets for self-driving cars. We conclude this study with a discussion on how technology strategy is transforming the world.

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Created

Date Created
  • 2019-12

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Composition of Geographic-Based Component Simulation Models

Description

Component simulation models, such as agent-based models, may depend on spatial data associated with geographic locations. Composition of such models can be achieved using a Geographic Knowledge Interchange Broker (GeoKIB)

Component simulation models, such as agent-based models, may depend on spatial data associated with geographic locations. Composition of such models can be achieved using a Geographic Knowledge Interchange Broker (GeoKIB) enabled with spatial-temporal data transformation functions, each of which is responsible for a set of interactions between two independent models. The use of autonomous interaction models allows model composition without alteration of the composed component models. An interaction model must handle differences in the spatial resolutions between models, in addition to differences in their temporal input/output data types and resolutions.

A generalized GeoKIB was designed that regulates unidirectional spatially-based interactions between composed models. Different input and output data types are used for the interaction model, depending on whether data transfer should be passive or active. Synchronization of time-tagged input/output values is made possible with the use of dependency on a discrete simulation clock. An algorithm supporting spatial conversion is developed to transform any two-dimensional geographic data map between different region specifications. Maps belonging to the composed models can have different regions, map cell sizes, or boundaries. The GeoKIB can be extended based on the model specifications to be composed and the target application domain.

Two separate, simplistic models were created to demonstrate model composition via the GeoKIB. An interaction model was created for each of the two directions the composed models interact. This exemplar is developed to demonstrate composition and simulation of geographic-based component models.

Contributors

Agent

Created

Date Created
  • 2019

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Vulnerability to heat stress in urban areas: a sustainability perspective

Description

Extreme hot-weather events have become life-threatening natural phenomena in many cities around the world, and the health impacts of excessive heat are expected to increase with climate change (Huang et

Extreme hot-weather events have become life-threatening natural phenomena in many cities around the world, and the health impacts of excessive heat are expected to increase with climate change (Huang et al. 2011; Knowlton et al. 2007; Meehl and Tebaldi 2004; Patz 2005). Heat waves will likely have the worst health impacts in urban areas, where large numbers of vulnerable people reside and where local-scale urban heat island effects (UHI) retard and reduce nighttime cooling. This dissertation presents three empirical case studies that were conducted to advance our understanding of human vulnerability to heat in coupled human-natural systems. Using vulnerability theory as a framework, I analyzed how various social and environmental components of a system interact to exacerbate or mitigate heat impacts on human health, with the goal of contributing to the conceptualization of human vulnerability to heat. The studies: 1) compared the relationship between temperature and health outcomes in Chicago and Phoenix; 2) compared a map derived from a theoretical generic index of vulnerability to heat with a map derived from actual heat-related hospitalizations in Phoenix; and 3) used geospatial information on health data at two areal units to identify the hot spots for two heat health outcomes in Phoenix. The results show a 10-degree Celsius difference in the threshold temperatures at which heat-stress calls in Phoenix and Chicago are likely to increase drastically, and that Chicago is likely to be more sensitive to climate change than Phoenix. I also found that heat-vulnerability indices are sensitive to scale, measurement, and context, and that cities will need to incorporate place-based factors to increase the usefulness of vulnerability indices and mapping to decision making. Finally, I found that identification of geographical hot-spot of heat-related illness depends on the type of data used, scale of measurement, and normalization procedures. I recommend using multiple datasets and different approaches to spatial analysis to overcome this limitation and help decision makers develop effective intervention strategies.

Contributors

Agent

Created

Date Created
  • 2013