Turning Data into Information Using
ArcGIS 10 Exam Questions and
Answers 100% Pass
What is the fundamental problem with representing geographic data? - ✔✔The world
is infinitely complex, so any digital representation of geographic phenomena is
inherently incomplete.
Name the six types of spatial analysis. - ✔✔Six types of spatial analysis are queries and
reasoning, measurements, transformations, descriptive summaries, optimization, and
hypothesis testing.
Describe uncertainty associated with the raster data model. - ✔✔In the raster data
model, spatial objects are defined as a set of contiguous cells with the same value.
Because an individual cell may store only one value, but in reality there may be a mix of
values in the area represented by the cell, the raster data model can distort the shape of
spatial objects.
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,discrete object view - ✔✔A way of representing geography in which the world is
represented as objects with well defined boundaries in empty space. In the discrete
object view, geographic objects have dimensionality and can be counted.
ecological fallacy - ✔✔The assumption that an overall characteristic of a zone is also a
characteristic of any location or individual within the zone.
field view - ✔✔A way of representing geography in which the world is represented as a
continuous surface made up of a finite number of variables, each one defined at every
possible position. Fields can be distinguished by what varies and how smoothly.
Modifiable Areal Unit Problem (MAUP) - ✔✔A problem in spatial analysis that occurs
when artificial units of reporting, such as administrative or political boundaries, are
superimposed on continuous phenomena, resulting in the creation of artificial spatial
patterns.
raster - ✔✔1. A spatial data model that defines space as an array of equally sized cells
arranged in rows and columns, and composed of single or multiple bands. Each cell
contains an attribute value and location coordinates. Unlike a vector structure, which
stores coordinates explicitly, raster coordinates are contained in the ordering of the
matrix. Groups of cells that share the same value represent the same type of geographic
feature.
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, 2. In ArcGIS, an in-memory representation of a raster dataset. A raster may exist in
memory as a subset of a raster dataset; it may have a different cell size than the raster
dataset; or it may exist using a different transformation than the raster dataset.
spatial analysis - ✔✔The study of the locations and shapes of geographic features and
the relationships between them. Spatial analysis is useful when evaluating suitability,
when making predictions, and for gaining a better understanding of how geographic
features and phenomena are located and distributed.
spatial autocorrelation - ✔✔A statistical measure that describes the extent to which the
value of an attribute at geographically referenced points changes as a function of the
distance and orientation between them.
spatial interpolation - ✔✔The estimation of surface values at unsampled points based
on known surface values of surrounding points. Spatial interpolation can be used to
estimate elevation, rainfall, temperature, chemical dispersion, or other spatially-based
phenomena. Spatial interpolation is commonly a raster operation, but it can also be
done in a vector environment using a TIN surface model. There are several well-known
interpolation techniques, including inverse distance weighted and kriging.
vector - ✔✔1. A coordinate-based data model that represents geographic features as
points, lines, and polygons. Each point feature is represented as a single coordinate pair,
while line and polygon features are represented as ordered lists of vertices. Attributes
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ArcGIS 10 Exam Questions and
Answers 100% Pass
What is the fundamental problem with representing geographic data? - ✔✔The world
is infinitely complex, so any digital representation of geographic phenomena is
inherently incomplete.
Name the six types of spatial analysis. - ✔✔Six types of spatial analysis are queries and
reasoning, measurements, transformations, descriptive summaries, optimization, and
hypothesis testing.
Describe uncertainty associated with the raster data model. - ✔✔In the raster data
model, spatial objects are defined as a set of contiguous cells with the same value.
Because an individual cell may store only one value, but in reality there may be a mix of
values in the area represented by the cell, the raster data model can distort the shape of
spatial objects.
Disclaimer: Original Content, No Copyright Infringement, All Rights Reserved © 2025 1
,discrete object view - ✔✔A way of representing geography in which the world is
represented as objects with well defined boundaries in empty space. In the discrete
object view, geographic objects have dimensionality and can be counted.
ecological fallacy - ✔✔The assumption that an overall characteristic of a zone is also a
characteristic of any location or individual within the zone.
field view - ✔✔A way of representing geography in which the world is represented as a
continuous surface made up of a finite number of variables, each one defined at every
possible position. Fields can be distinguished by what varies and how smoothly.
Modifiable Areal Unit Problem (MAUP) - ✔✔A problem in spatial analysis that occurs
when artificial units of reporting, such as administrative or political boundaries, are
superimposed on continuous phenomena, resulting in the creation of artificial spatial
patterns.
raster - ✔✔1. A spatial data model that defines space as an array of equally sized cells
arranged in rows and columns, and composed of single or multiple bands. Each cell
contains an attribute value and location coordinates. Unlike a vector structure, which
stores coordinates explicitly, raster coordinates are contained in the ordering of the
matrix. Groups of cells that share the same value represent the same type of geographic
feature.
Disclaimer: Original Content, No Copyright Infringement, All Rights Reserved © 2025 2
, 2. In ArcGIS, an in-memory representation of a raster dataset. A raster may exist in
memory as a subset of a raster dataset; it may have a different cell size than the raster
dataset; or it may exist using a different transformation than the raster dataset.
spatial analysis - ✔✔The study of the locations and shapes of geographic features and
the relationships between them. Spatial analysis is useful when evaluating suitability,
when making predictions, and for gaining a better understanding of how geographic
features and phenomena are located and distributed.
spatial autocorrelation - ✔✔A statistical measure that describes the extent to which the
value of an attribute at geographically referenced points changes as a function of the
distance and orientation between them.
spatial interpolation - ✔✔The estimation of surface values at unsampled points based
on known surface values of surrounding points. Spatial interpolation can be used to
estimate elevation, rainfall, temperature, chemical dispersion, or other spatially-based
phenomena. Spatial interpolation is commonly a raster operation, but it can also be
done in a vector environment using a TIN surface model. There are several well-known
interpolation techniques, including inverse distance weighted and kriging.
vector - ✔✔1. A coordinate-based data model that represents geographic features as
points, lines, and polygons. Each point feature is represented as a single coordinate pair,
while line and polygon features are represented as ordered lists of vertices. Attributes
Disclaimer: Original Content, No Copyright Infringement, All Rights Reserved © 2025 3
