Spatial Analysis Flashcards
11 cards from real GISP practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 11 Spatial Analysis flashcards as text
What does Spatial Analysis refer to in GIS?
Answer: Analyzing spatial patterns and relationships within geographic data
Spatial Analysis in GIS involves examining and understanding the spatial patterns, relationships, and processes within geographic data.
Which of the following is NOT a common spatial analysis technique in GIS?
Answer: Sorting
Sorting is not typically considered a spatial analysis technique in GIS. It involves arranging data in a particular order, which may not necessarily be spatially related.
What does the "buffering" spatial analysis technique involve?
Answer: Creating a boundary around a specific area of interest
Buffering involves creating a buffer zone or boundary around a specific area of interest, typically a point, line, or polygon, within a specified distance.
Which spatial analysis technique is commonly used to identify areas of high and low elevation on a digital elevation model (DEM)?
Answer: Slope analysis
Slope analysis calculates the steepness of terrain from a DEM, helping to identify areas of high and low elevation.
What is the purpose of interpolation in spatial analysis?
Answer: Estimating values for locations between known points
Interpolation is used to estimate values for locations where data is not available based on values from nearby known locations.
Which spatial analysis technique is used to identify statistically significant clusters of features within a dataset?
Answer: Spatial autocorrelation
Spatial autocorrelation measures the degree of spatial dependence between adjacent features and helps identify clusters or patterns of similarity.
What is the primary purpose of Voronoi tessellation in spatial analysis?
Answer: Dividing space into regions based on proximity to a set of points
Voronoi tessellation divides space into regions based on the proximity of each point to a set of predefined points, known as seeds or generators.
Which spatial analysis technique is commonly used to analyze patterns of disease spread or crime incidents?
Answer: Hotspot analysis
Hotspot analysis identifies statistically significant clusters of high or low values within a dataset, making it useful for studying patterns of disease spread or crime incidents.
What is the primary purpose of network analysis in GIS?
Answer: Analyzing spatial relationships between features connected by a network
Network analysis focuses on analyzing spatial relationships and connectivity between features within a network, such as roads, rivers, or utility networks.
How does kernel density estimation (KDE) differ from traditional density estimation techniques?
Answer: KDE does not account for spatial relationships
KDE calculates the density of point features by spreading a smooth surface over the study area, representing the density of the features more accurately than traditional methods.
Which spatial analysis technique is commonly used to model the spread of wildfires or infectious diseases?
Answer: Spread analysis
Spread analysis models the spread of phenomena, such as wildfires or infectious diseases, over time or space, helping to predict and mitigate their impact.