Distance-based Analysis

Question 1

Principles of Spatial Analysis:

What does a spatial data model represent?

Answer 1

Field: Continious value range

Object: Discrete entity with qualities

Network: Flows between discrete entities

Question 2

Field x Vector

Answer 2

Point measure

Question 3

Field x Raster

Answer 3

Field Raster

Question 4

Geodatamodels (3)

Field x Regions (Tessellations)

Answer 4

Contours and Coverages

Question 5

Geodata models(4)

Answer 5

Object vector

Question 6

Geodata models(5)

Answer 6

Object Raster

Question 7

Geodata model (6)

object x region

Answer 7

Lattices (Statistical regions)

Question 8

Geodata models (7)

Network x Vector

Answer 8

Vector graph

Question 9

Raster x Network

Answer 9

Grid graphs

Question 10

Network x region

Answer 10

OD matrices

Question 11

Wat are Planar distances?

Answer 11

distances measured in a projected coordinate system (CRS)

thus they are distorted on the eath surface

Question 12

How are geodesic distances measured?

Answer 12

on a spheriod model of the earth

Question 13

Proximity 1: Buffering

What is a buffer zone?

And give two examples

Answer 13

A buffer zone is any area that serves the purpose of keeping real world features distant from one another

Example: greenbelt,

border zone

Question 14

Proximity 2: Nearest objects

How does nearest object work?

Answer 14

Calculates distance and additional proximity info between the input features and the closest feature in another layer or feature class

Question 15

Proximity 3: Theissen Polygons

How do they work?

Example usage

Answer 15

All points within a polygon that are closest to its centre points

Catchment areas

Question 16

Map algebra

How does the focal function work?

Answer 16

On cells within a cell neighborhood

Question 17

Map algebra: Global

How does the global function work?

Wat kind of operator is this?

Answer 17

on all cells!

Euclidean