FREE GISP Spatial Analysis Questions and Answers
What does the "buffering" spatial analysis technique involve?
Buffering involves creating a buffer zone or boundary around a specific area of interest, typically a point, line, or polygon, within a specified distance.
What is the primary purpose of Voronoi tessellation in spatial analysis?
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 identify areas of high and low elevation on a digital elevation model (DEM)?
Slope analysis calculates the steepness of terrain from a DEM, helping to identify areas of high and low elevation.
What is the primary purpose of network analysis in GIS?
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?
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?
Spread analysis models the spread of phenomena, such as wildfires or infectious diseases, over time or space, helping to predict and mitigate their impact.
Which of the following is NOT a common spatial analysis technique in GIS?
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 is the purpose of interpolation in spatial analysis?
Interpolation is used to estimate values for locations where data is not available based on values from nearby known locations.
What does Spatial Analysis refer to in GIS?
Spatial Analysis in GIS involves examining and understanding the spatial patterns, relationships, and processes within geographic data.
Which spatial analysis technique is used to identify statistically significant clusters of features within a dataset?
Spatial autocorrelation measures the degree of spatial dependence between adjacent features and helps identify clusters or patterns of similarity.
Which spatial analysis technique is commonly used to analyze patterns of disease spread or crime incidents?
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.