1 - Introduction to GIS Flashcards
Q: What is GIS?
A: GIS (Geographic Information System or Science) is a computer system for managing geographic data tied to specific locations. It allows users to map, model, store, and analyze data.
Key Functions:
Pinpoint locations.
Perform routing (e.g., in-car navigation).
Report power outages.
Analyze crime patterns.
Predict weather.
Q: What was the first GIS system, and when was it developed?
A:
The first GIS system was the Canada Geographic Information System (CGIS), developed in the mid-1960s.
Other Key Milestones:
1970: U.S. Census produced its first geocoded census.
1990: TIGER database created the first nationwide digital map of roads, boundaries, and water in the U.S.
1995: UK Ordnance Survey digitized 230,000 maps to create the first large-scale electronic mapping program.
Q: Describe Dr. John Snow’s contribution to GIS history
A: In 1854, Dr. John Snow mapped cholera deaths in central London, revealing a contaminated well as the outbreak’s source. This marked the birth of modern thematic mapping and disease mapping.
Q: What percentage of all database information contains geographic elements?
A: Approximately 80% of all information in databases includes some geographic element (e.g., addresses, buildings, postal codes, property, or road junctions).
Q: What are the two main GIS data models, and how are they used?
A:
Vector Model:
Represents discrete data using points, lines, and polygons.
Example: City names, road networks.
Raster Model:
Represents continuous data using a grid or pixels.
Example: Temperature gradients, elevation models
Q: What are the primary components of a shapefile in GIS?
A: A shapefile comprises the following files:
Main File (.shp): Stores feature geometry.
Index File (.shx): Links features with the corresponding record in the attribute table.
Database File (.dbf): Stores attribute data and object IDs.
Projection File (.prj, optional): Provides coordinate reference system info.
Q: What is the difference between discrete and continuous data in GIS?
A:
Discrete Data: Represents features with definite boundaries (e.g., cities, roads, wards). It’s categorical or nominal and represented as distinct values.
Continuous Data: Represents features without defined boundaries (e.g., temperature, elevation). It’s measured on a continuous scale, often visualized as gradients or heat maps.
Q: How does GIS process geographic data?
A:
Captures data in digital form.
Classifies features as points (e.g., schools), lines (e.g., roads), or polygons (e.g., lakes).
Stores data in geometry (shapes and locations) and attributes (descriptive info)
Q: What is ArcGIS Pro, and what are its capabilities?
A:
ArcGIS Pro is a professional desktop GIS application from Esri. It enables:
Exploring, visualizing, and analyzing data.
Creating 2D maps and 3D scenes.
Sharing work through ArcGIS Online or an organization portal.
Q: What is a vector data model in GIS?
A:
The vector data model represents geographic features as points, lines, and polygons:
Points: Represent discrete locations (e.g., schools, landmarks).
Lines: Represent linear features (e.g., roads, rivers).
Polygons: Represent areas with boundaries (e.g., lakes, city boundaries).
Key Features:
Suitable for discrete data with clear boundaries.
High precision for representing location and shape.
Stored as geometries (spatial features) and attributes (descriptive information).
Q: What is a raster data model in GIS?
A:
The raster data model represents geographic information as a grid of cells or pixels:
Each cell holds a value corresponding to the attribute (e.g., elevation, temperature).
Best suited for continuous data, such as gradients or surfaces.
Key Features:
Useful for modeling and analyzing continuous phenomena.
Data resolution depends on cell size; smaller cells provide greater detail.
Example applications: Satellite imagery, digital elevation models (DEM)
Q: What are the advantages and disadvantages of vector data?
A:
Advantages:
High precision for representing locations and boundaries.
Compact storage; efficient for small datasets.
Easily edited and updated.
Disadvantages:
Computationally intensive for complex operations.
Less suitable for representing continuous phenomena
Q: What are the advantages and disadvantages of raster data?
A:
Advantages:
Excellent for representing continuous surfaces.
Simple data structure.
Supports complex spatial analysis using mathematical operations (e.g., map algebra).
Disadvantages:
Large file sizes, especially with high-resolution data.
Lower precision for boundaries and small features
Q: How are vector and raster data georeferenced?
A:
Both vector and raster data are tied to real-world coordinates using georeferencing:
Vector Data: Points, lines, and polygons are defined with latitude and longitude or projected coordinates.
Raster Data: Each cell is assigned a location based on its row and column within a defined coordinate system
Q: What is the significance of resolution in raster data?
A:
Resolution refers to the size of each cell in the raster grid:
High Resolution: Smaller cells capture finer details but require more storage.
Low Resolution: Larger cells are less detailed but more efficient to process.
Example: A raster with a 1-meter resolution can represent finer details than one with a 10-meter resolution