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Explain the importance of census data.
Cornerstone of urban planning and policy, helps governments understand population needs and allocate resources.
What is the purpose of analyzing racial/residential segregation?
Crucial for addressing inequality and promoting inclusive communities by understanding separation patterns.
Why is qualitative data important in urban geography?
Provides rich, detailed insights into complex issues, exploring nuances and context often missed by quantitative methods.
Explain the significance of combining quantitative and qualitative data.
Provides a more comprehensive and nuanced understanding of urban areas and their complexities.
Describe the role of maps in visualizing qualitative data.
Maps show distribution of features, patterns of land use, or flow of people/goods, helping understand spatial relationships.
Explain how field studies contribute to urban geography.
Help understand the context and complexities of urban issues by observing and collecting data in real-world settings.
What is the relationship between urban data and policy making?
Urban data informs critical decisions about housing, transportation, economic development, and environmental management.
Explain the concept of 'urban performance'.
The measurement of how well a city is functioning in terms of its economy, environment, and social well-being.
What is the role of data in tracking progress toward sustainable urban development?
Data is used to monitor and evaluate the effectiveness of policies and initiatives aimed at promoting sustainability in urban areas.
What are the limitations of relying solely on quantitative data in urban studies?
Quantitative data may not capture the nuances and complexities of human experiences and social dynamics in urban areas.
Identify the map's focus regarding residential segregation.
The map shows residential segregation patterns in New York City, with different colors representing different racial or ethnic groups.
What does the map reveal about spatial relationships?
The map shows the spatial distribution and clustering of racial and ethnic groups, indicating areas of high and low segregation.
What type of data is represented in the map?
The map represents quantitative data from the 2010 Census, visualized to show racial and ethnic distribution.
How can the map be used to identify areas needing intervention?
Areas with high levels of segregation can be targeted for policies and programs aimed at promoting integration and equity.
What can be inferred about access to resources based on the map?
The map can suggest potential disparities in access to resources and opportunities based on residential segregation patterns.
How does the map relate to urban planning?
The map provides valuable information for urban planners to address issues of segregation and promote equitable development.
What are the limitations of using the map to understand segregation?
The map may not capture the complexities of individual experiences and social dynamics that contribute to segregation.
How could qualitative data enhance the information presented in the map?
Qualitative data from interviews and field studies could provide insights into the lived experiences of residents in segregated areas.
What are the potential policy implications of the map's findings?
The map can inform policies related to housing, education, and economic development aimed at reducing segregation and promoting integration.
How does the map contribute to understanding urban inequality?
The map highlights spatial patterns of inequality and segregation, providing a visual representation of disparities in urban areas.
What is the process of conducting a census?
Planning, data collection (surveys/forms), data processing, analysis, and dissemination of results.
What are the steps involved in a field study?
Define research question, select study area, collect data (observations, interviews), analyze data, and draw conclusions.
What is the process of mapping residential segregation?
Collect census data on race/ethnicity, calculate segregation indices, create thematic maps, and analyze spatial patterns.
What are the steps in analyzing qualitative data from interviews?
Transcription, coding (identifying themes), thematic analysis, interpretation, and reporting findings.
What is the process of using urban data for policy-making?
Data collection, analysis, identification of issues, policy formulation, implementation, and evaluation.
What are the steps in creating a map to visualize urban data?
Data collection, data processing, selection of map type, design of map elements, and map creation.
What is the process of conducting a survey in urban areas?
Define research objectives, design questionnaire, select sample, administer survey, analyze data, and report findings.
What are the steps in analyzing quantitative data from a census?
Data cleaning, descriptive statistics, inferential statistics, data visualization, and interpretation of results.
What is the process of using satellite imagery to collect urban data?
Image acquisition, image processing, feature extraction, classification, and analysis of urban features.
What are the steps in developing a sustainable urban development plan?
Assessment of current conditions, setting goals, identifying strategies, implementation, monitoring, and evaluation.