Sustainable City Year Reports 2016-17 (Albany)

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Browsing Sustainable City Year Reports 2016-17 (Albany) by Author "Kohler, Nick"

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    Geographic Information Systems Housing Analysis in Albany, Oregon
    (University of Oregon, 2017) Portwood, Paige; Kohler, Nick
    The University of Oregon’s GIScience 2 students collaborated with the City of Albany, Oregon, to gather, organize, synthesize, and map geospatial information. Albany is interested in better understanding the segregation patterns of underrepresented demographic populations like racial/ethnic minority groups, low income individuals or families, people with disabilities, and seniors. GIS students used these potential segregation factors and compared them to access or availability of amenities and services. The students were divided into ve groups to cover a greater variance of ndings: Housing Patterns and Needs, Access to Opportunity, Segregation/Integration of Racial/Ethnic Minority Groups, Publicly Supported Housing Analysis, and Disability and Access Analysis. City of Albany sta will be able to utilize this report to visualize spatial patterns of segregation, areas of concentrated populations, and potentially use this information as a reference in the future to promote greater integration.Students were divided into ve groups and focused on di erent areas of fair housing: Housing Patterns and Needs, Disparities in Access to Opportunity, Segregation/ Integration of Racial/Ethnic Minority Groups, Publicly Supported Housing Analysis, and Disability and Access Analysis. Within these categories, each student chose a speci c topic to focus on; individually, students compiled data, conducted spatial analyses, and created a map(s). In collaboration with City of Albany sta , students used existing city data, plans, market strategies, and maps as frameworks to create quality maps using Geographic Information System (GIS). The fair housing group concentrations are de ned as: 1. Housing Patterns and Needs based on disproportionate opportunities for population or household characteristics such as tenure availability, race/ethnicity, income, family status, or housing age. 2. Disparities in Access to Opportunity measures the accessibility of certain population groups to living amenities such as transit, parks, schools, or grocery stores. 3. Segregation and Integration of Racial/Ethnic Minority Groups displays how racial/ ethnic groups are dispersed or concentrated, while also identifying racial/ethnic groups that may experience the highest level of segregation. 4. Publicly Supported Housing Analysis seeks to identify demographic patterns of residents who live in public housing or in surrounding areas. 5. Disability and Access Analysis is a spatial analysis showing where persons with disabilities are geographically dispersed or concentrated and what services are accessible, or within close proximity to where they live.
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    Remote Sensing Technologies and Techniques for Parks and Historic Asset Management in Albany, Oregon
    (University of Oregon, 2017) Major, James; Kohler, Nick; Behrens, Syler
    The City of Albany, Oregon has iden ed three main objec ves to assist city sta to manage, analyze, and visualize historic aerial images for the purposes of parks and recrea on, as well as manage historic assets. The University of Oregon Remote Sensing class, Geography 486/586, supported these e orts by genera ng the frameworks for these projects, mostly as descrip ons of proof of concept projects. Sample outputs from these projects, along with detailed descrip ons of how to recreate and expand upon them can help the city and its ci zens going forward as the technologies and techniques described within become more available and accessible, in both extent and cost. An example of this is LIDAR technology. LIDAR will become more common in the near future, allowing for ongoing change detec on and analysis. One of the class’s main objec ves was to look at the future possibili es and uses for remotely sensed data for park management and planning, for which LIDAR may prove to be cri cally important. Another important goal for the class was to examine the possibili es of remote sensing technology in historic asset management. Students worked on data storage and management techniques, including the crea on of databases and websites that can store and disseminate informa on as needed or desired. Another project explored the manipula on of historic aerial imagery using current technologies such as Structure from Mo on to create digital orthophotos and three-dimensional so ware to show what the City of Albany looked like from the air over eighty years ago.The class iden ed three objec ves to help Albany manage, analyze, and visualize historic aerial images for the purposes of parks and recrea on, as well as manage historic assets. These objec ves are: 1. Create a database of geospa ally registered images and maps. 2. Provide analysis and visualiza ons for park and historic asset management and planning. 3. Discuss future needs and possibili es for the use of remote sensing technologies for park and historic asset management and planning. In order to sa sfy these goals, students completed individual nal projects that explored speci c ways to assist the City of Albany with their objec ves. Student projects can be classi ed into three general categories: Uses of current remote sensing technologies, manipula on of historical imagery with current technologies, and data storage and management.