Untitled Quiz

<p>Area (B)</p> Signup and view all the answers

<p>Touches the Earth at a point or line (D)</p> Signup and view all the answers

<p>Universal Transverse Mercator (UTM) (A)</p> Signup and view all the answers

<p>Azimuthal Equidistant (B)</p> Signup and view all the answers

<p>The light source used for projection (D)</p> Signup and view all the answers

<p>Modifying or computing new data within an attribute table (D)</p> Signup and view all the answers

<p>NOT (A)</p> Signup and view all the answers

<p>Simple joins match one-to-one, summarized joins match one-to-many (C)</p> Signup and view all the answers

<p>Different directions can yield different results (A)</p> Signup and view all the answers

<p>State = 'Oklahoma' AND Population &lt; 1000 (C)</p> Signup and view all the answers

<p>Any type of data, including strings and dates (D)</p> Signup and view all the answers

<p>It combines conditions where either can be true (D)</p> Signup and view all the answers

<p>Data from two sources will be combined based on matching tract IDs (A)</p> Signup and view all the answers

<p>Discrete objects with defined boundaries (A)</p> Signup and view all the answers

<p>It is suited for continuous data and spatial phenomena. (C)</p> Signup and view all the answers

<p>Image Data Model, which records spectral reflectance (C)</p> Signup and view all the answers

<p>Vector organizes objects with distinct shapes, Raster uses a uniform grid. (C)</p> Signup and view all the answers

<p>It leads to ineffective mapping. (B)</p> Signup and view all the answers

<p>Practitioners relied on hard-copy maps that required manual digitization. (A)</p> Signup and view all the answers

<p>Represents discrete boundaries of features. (C)</p> Signup and view all the answers

<p>Always verify if a reputable dataset exists before creating one. (C)</p> Signup and view all the answers

<p>They reduce computational effort by indicating non-overlapping objects. (C)</p> Signup and view all the answers

<p>Minimum Bounding Geometry tool (C)</p> Signup and view all the answers

<p>Select features that overlap with another feature. (B)</p> Signup and view all the answers

<p>A source feature must fully contain the target feature without intersecting the edges. (C)</p> Signup and view all the answers

<p>It selects features that intersect with a created buffer around another feature. (C)</p> Signup and view all the answers

<p>Point within a point. (D)</p> Signup and view all the answers

<p>The source feature's geometry must fully contain the target feature's geometry. (D)</p> Signup and view all the answers

<p>Spatial queries interact with the shape and location of features, while attribute queries do not. (A)</p> Signup and view all the answers

<p>To aggregate smaller features into larger ones based on common attributes. (A)</p> Signup and view all the answers

<p>A polygon layer, regardless of the input feature type. (B)</p> Signup and view all the answers

<p>They create new layers by considering spatial relationships between different layers. (A)</p> Signup and view all the answers

<p>Ensuring buffers are dissolved to prevent overlaps. (B)</p> Signup and view all the answers

<p>Clip (C)</p> Signup and view all the answers

<p>Raster data models continuous data using grid cells. (D)</p> Signup and view all the answers

<p>Union (C)</p> Signup and view all the answers

<p>Attribute value fields (C)</p> Signup and view all the answers

<p>Refining digital elevation models for watershed analysis (B)</p> Signup and view all the answers

<p>Majority statistics (C)</p> Signup and view all the answers

<p>Planning urban public transportation routes (B)</p> Signup and view all the answers

<p>Identifying potential landslide areas (C)</p> Signup and view all the answers

<p>Ensuring consistent resolution and handling NoData cells (B)</p> Signup and view all the answers

<p>Using kernel convolution (D)</p> Signup and view all the answers

<p>It helps determine analysis accuracy and sensitivity (A)</p> Signup and view all the answers

<p>Using parallel processing or tiling (C)</p> Signup and view all the answers

Represents discrete objects like points, lines, and polygons with attributes and spatial relationships.

Represents continuous data like elevation, temperature, or land cover using a grid of cells, each with a single value.

Represents spectral reflectance intensities for remote sensing, providing visual context for data creation.

Accurate and comprehensive spatial data is essential for creating reliable maps and geographic analysis.

Advancements in GIS and the internet provide easier access to large, ready-to-use spatial datasets.

Always check if a dataset exists from a reputable source before creating your own.

Vector objects can have multiple attributes, providing detailed information about them.

Raster data resolution affects the level of detail, with smaller cells representing finer detail.

Modify or compute new data within an attribute table, like converting feet to miles using formulas.

Select records from an attribute table based on specific conditions, using logical operators like AND, OR, and NOT.

Combine two tables based on a shared field (key field), merging data from both sources.

Matches one record in Table A to one record in Table B.

Aggregates data from multiple records in Table B for each record in Table A.

Used to store whole numbers, efficiently representing counts or IDs.

Used to store numbers with decimal points, representing measurements or values requiring precision.

Store temporal information, like event timestamps and trajectories, providing context for analysis.

The smallest rectangle that completely encloses a geometric feature. It's useful for optimizing computations and setting default extents.

MAR is used for computational efficiency, determining intersections between objects. It also helps define bounding geometry and can be calculated using GIS tools like "Minimum Bounding Geometry".

Arithmetic operations in GIS that analyze and extract information from spatial data. Common calculations include distance, perimeter, area, centroid, and the bounding rectangle (MAR).

Selecting geographic features based on their location or relationship to other features. They work with the shape and position of objects (geometry), unlike attribute queries that focus on data values.

Selects features that overlap (partially or fully) with another feature. Applicable to all vector object types like points, lines, and polygons.

Creates a zone around a feature and selects those that intersect the zone. This is useful for finding features within a specific distance of the source feature.

Selects features that lie entirely inside another feature.

A GIS tool used to perform spatial queries. It requires two layers: the target layer from which you want to select features, and the source layer used for comparison.

A geoprocessing operation that combines features with shared attributes into larger features, effectively reducing the number of features.

Creates a zone of specified width around a spatial feature, producing a polygon layer regardless of the input feature type (point, line, or polygon).

Overlay operations involve spatial relationships between layers and combine attributes from multiple sources, whereas other operations modify single layers or combine them without creating spatial connections.

Geoprocessing operations can modify the geometry of features, such as changing shape, number of features, or creating new features entirely.

Geoprocessing operations can affect attributes by retaining, modifying, or combining them from different sources.

Geometric modifications like clipping or erasing require manual updates of area-related fields in the attribute table, and overlapping buffers or unions can lead to overestimated areas if not addressed.

Geoprocessing tools are goal-specific. Choose the appropriate tool based on the desired outcome, such as clipping for defining boundaries, union for combining features, or buffer for distance-based analyses.

Raster data model uses a grid of cells, each with a single value, to represent continuous data like elevation, temperature, or land cover. This contrasts with the vector model that uses objects.

Using filtering techniques to refine data like digital elevation models (DEMs) for analyzing watershed characteristics.

Calculating average values for specific areas, like neighborhoods, to analyze environmental factors like temperature or precipitation.

Combining data from smaller areas into larger ones to simplify analysis and identify trends. For example, combining vegetation cover data from many small plots into regional averages.

Measuring the straight-line distance between two points, useful for analyzing accessibility to services like hospitals or public transportation.

Creating buffer zones around specific features, like rivers or fault lines, to protect sensitive areas or plan for disasters. For example, buffering rivers to preserve riparian ecosystems.

Analyzing the steepness of terrain to assess landslide risks, plan hiking trails, or evaluate agricultural suitability.

Methods used to calculate values for a focal area, like using a kernel convolution to smooth out data.

Making sure your data is ready for analysis, including checking resolution, handling missing values, and ensuring consistency.

The alteration of a map's representation of the Earth's features, including size, shape, distance, and direction, due to transforming the curved 3D Earth onto a flat 2D map.

Preserves the relative sizes of areas on the map, but distorts shapes, distances, and directions.

Preserves the shapes of features on the map, but distorts areas, distances, and directions.

A grid system superimposed on a map projection, giving locations precise coordinates on a flat surface.

Shapes used to project the Earth onto a flat surface, like cylinders, cones, or planes.

The orientation of the developable surface during projection, with options like normal, transverse, or oblique.

The location from which the Earth is projected, options include from the Earth's center, the far side of the globe or from infinity.

A widely used cylindrical projection dividing the Earth into 60 zones for accurate mapping and GPS applications.