AP Human Geography - Unit 1 Notes
Reference Maps vs. Thematic Maps
- Reference maps: Informational, showing boundaries, toponyms (place names), and geographic features for directions.
- Thematic maps: Display themes, patterns, and spatial patterns, often using quantitative data.
Toponyms
- Definition: The name of a place.
- Importance: Vocabulary word for the AP exam.
Types of Thematic Maps
- Focus: Ability to read and understand limitations of each type.
- Themes: Connect to political, economic, social, and cultural aspects.
Choropleth Maps
- Display data using different shading.
- Example question: Which region has the highest/lowest literacy rates?
- Key elements: Title, legend, source.
- Common Mistakes: Students often skim due to stress, leading to errors.
Dot Density Maps
- Show precise locations.
- Limitation: Can be hard to read depending on the scale (small vs. large scale).
- Small Scale: Shows a large area (e.g., the Earth) with less detail.
- Large Scale: Shows a small area with lots of detail.
- Global map: small scale as it shows less detail.
Graduated Symbol Maps
- Limitation: Overlap can make them difficult to read.
- Usage: Visual and interesting.
Isoline Maps
- Use contour lines to group characteristics.
Cartogram Maps
- Distortion: Can be harder to read due to distortion of areas.
- Interpretation: Larger area means more prevalence of the mapped topic (e.g., population).
- Challenge: Countries/regions with fewer variables might disappear or be underrepresented.
Flow Line Maps
- Purpose: Show movement of people, goods, and ideas.
- Relevance: Demonstrates globalization and interconnectedness.
- Exports: Goods sent out (E for exit).
- Imports: Goods brought in (I for in).
Map Projections
- Key Idea: Every map has distortion.
- Distortion: Can affect shape, area, distance, and direction.
- Examples: Mercator (distorts size, e.g., Africa smaller, Greenland larger), Robinson, Fuller.
- Focus for studying: Being able to read maps, not memorizing all projections.
Map Vocabularies
- Absolute Distance: Exact distance between two places.
- Absolute Direction: Exact direction.
- Relative Distance: Approximate measurement, often in time (e.g., "15 minutes away").
- Relative Direction: Direction depends on the surrounding area.
- Use in Questions: Vocabulary is used in questions and answers, not necessarily directly defined.
Settlement Patterns
- Clustered: Settlements grouped together.
- Dispersed: Settlements spread out.
- Linear: Settlements along a line (e.g., water).
- Impact: Settlement patterns impact services, opportunities, and social, economic, political, and environmental aspects.
- Links to other concepts: The Long lots.
Data: Qualitative vs. Quantitative
- Qualitative Data: Subjective information open to interpretation (e.g., survey responses on opinions).
- Quantitative Data: Objective, factual data (e.g., crime rate of a city).
- Examples:
- GDP per capita (2020): quantitative.
- Population pyramid: quantitative.
- Survey on school lunch quality: qualitative.
Geospatial Technologies
- Remote Sensing: Collecting data without being physically present (e.g., using satellites).
- GPS: Used for directions and other applications (e.g., precision farming).
- GIS: Software for storing, capturing, managing, and displaying data in layers.
- Methods: Field observations, media reports, travel narratives, policy documents, interviews, landscape analysis, photographic interpretation.
- Emphasis: Landscape analysis and photographic interpretation are crucial skills.
Landscape Analysis and Photographic Interpretation
- Focus: Analyzing photos to observe buildings, clothing, cultural elements, land use patterns, and urban/rural characteristics.
Census and Satellite Imagery
- Satellite time Lapse revealing consequences of agricultural techniques like deforestation.
- Census: Quantitative data collected every ten years.
- Data Includes: Number of people, household income, race, gender.
- Importance: Informs policy decisions.
Applications of Spatial Data at Different Scales
- Personal: Using data for buying a house (e.g., crime rates, school districts).
- Business: Determining business locations based on customer demographics and income.
- Government: Using population pyramids and other data for policy-making.
Personal Application of Spatial Data
- Using data for house purchase decisions.
- Considering factors like proximity to highways, school districts, and crime rates.
- Also including weather tracking.
Business Application of Spatial Data
- Opening a new business requires proper placement.
- Data helps to determine customers.
- Considering average customer income.
- Issue is small scale maps don't have enough detail.
Examples of Scale Impacting Data
- Changing from small to large scale reveals more details.
- Going global to state shows change in data insight.
Vocabularies
- Place: Significance in unit three.
- Do not focus on memorization of definitions.
Distance Decay
- Definition: The effect of distance on interactions; further away, less interaction.
- Decrease: Distance decay has decreased due to time-space compression.
Time-Space Compression
- Definition: The world feels smaller due to increased connectivity.
- Cause: Technological advancements allowing easier global connections.
Perspectives
- Environmental Determinism: Physical environment dictates possibilities.
- Possibilism: Human agency allows overcoming environmental limitations.
Human Environment Interaction
- Human interaction with environment, manipulation, and a cause and effect relationship.
- With renewable and non renewable resources.
Land Use Patterns
- Importance: Reveals priorities, economic development, and government policies.
- Example: Agricultural land indicates population density and economic development.
- Other categories: Residential, transportation, industrial.
- Interpretation of photos: Understanding the economic growth in an area.
Example of How Data Used Indicates Economic Growth
- Hotels and ski resort in Japan.
- May result in great tourism.
Scale and Scale of Analysis
- Scale: Distance on the map to corresponding distance on Earth.
- Scale of Analysis: How data is collected, organized, and presented.
- Scales: Local, regional, national, global.
- Can change scale to fit desired needs.
Examples of Maps with Variable Scale of Analysis
- National scale regional analysis.
- Another example is national scale local analysis.