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Managing Raster Data
- divides space into discrete uniform unit squared cells
- does not provide precise locational data
Spatial resolution
reducing grid cell size to half the current size will increase data value four times
resolution
dimensions of a pixel
Whittaker-Shannon Sample Theorem
Cell size must be smaller than half of the minimum feature that you intend to represent
Continuous Rasters
o Store numeric values that can be measured anywhere
Examples: Elevation, temperature, precipitation
Discrete Rasters
Store Categorical data
Examples: land use, roads
Raster Pyramids
o May be built for a raster to speed its display
o Lower resolution copies are created
Nearest Neighbor Resampling, categorical
Grabs value from old cell that falls at center of new cell
Preserves original value
__________ data
Bilinear resampling, continuous
Finds new value from four cells closest to center of new cell; ____________ data
cubic convolution resampling, continuous
finds new value from 16 cells that fall closest to center of new cell; used for ___________ data
Raster Tables
o Attribute tables are created for discrete rasters with limited number of unique values
Value Field
part of a raster table that contains each unique value
count field
indicates how many cells have that value in a raster table
Storing raster data
BIP, BIL, BSQ
BIP
Band Interleaved by Pixel
BIL
Band interleaved by line
BSQ
band sequential
Storing Raster Values
one binary digit is a bit
8 bits is one byte
number of bytes is pixel depth
Multiband Raster
contain multiple raster arrays with same number of rows, columns, same resolution stored together, EX satellite images
Displaying Multiband Rasters
§ Natural color (red, green, blue wavelengths)
§ False color (near infrared, red, blue)
DEM
Digital Elevation Models
Attribute Table
§ Stores attributes of map features
§ Spatial data layer
§ Special fields for spatial info
Standalone Table
§ Stores any tabular data
§ Not associated with spatial data
Sorting Records
Sorted ascending or descending; does not affect original data
Turning off fields in table
o Does not delete, just removes from display
Field Data Types
o Short and long for integers
o Float and Double for Decimals
o Text
o Date
Geometry Fields
special fields in attribute tables called Shape_Length and Shape_Area
Coded domains
provide lists of values to pick from; EX conifer or deciduous
Range Domains
specify the range of numeric values permitted
shapefiles
o area fields that must be manually created and updated
o Automatically updated fields in a geodatabase are called shape_area
SQL
Structured Query Language-- for relational databases
Query
o Built into layer which can temporarily remove unwanted features and can improve quality and speed of map display
Joins
o Temporary relationships between tables used by relationship DBMS
One to one cardinality
§ States to governors
§ Husbands to wives
One to many cardinality
§ States to cities
§ Districts to schools
Many to one cardinality
§ Cities to states
§ Schools to districts
Many to many cardinality
§ Students to classes
§ Stores to customers
Topology
o Spatial relationships between features
Logical consistency
o When topology match real world
Ex. Roads actually connect
Dangle
o Lines fail to connect
Coincident Boundary
o Shared edge that contains exactly the same x-y pairs for both adjacent polygons
Snapping
Ensures ends of roads or vertices of polygons match
Snap tolerance
distance of snapping points
Schema changes
o those that affect the structure of a table
o ex: adding/deleting fields, or modifying domains
Editing Changes
o Affect the properties of individual feature coordinates or attributes
o Not possible when there are unsaved schema changes
Feature templates
Quickly access construction tools and attributes for a layer; can have multiple
Annotation
Set of labels stored in a feature class
Reference Scale
o Maintains consistent placement relative to map features
Spatial operators
intersect, contains/within, proximity
Intersect
tests whether or not features touch
Contains/ Within
tests whether a feature is inside another
Proximity
tests whether features are within specified distance of another
zones
areas of raster/feature dataset that share the same integer value
contains operator
permits feature to lie on edge of containing feature
Completely contains operator
does not permit a shared boundary
Target layer
layer in spatial query from which features are selected
source layer
layer in spatial query that target features are compared to
Overlay
provides a way to split features so there is always a one to one correspondence
Extraction functions
Clip, Erase
§ Clip and erase can change lengths or areas of features on boundary
Clip
keeps features inside feature boundary
Erase
keeps features outside feature boundary
On the fly clipping
o Temporary clip applied to map layout
o Performed on many layers simultaneously
Sliver polygons
o Tiny polygons created during geoprocessing
o Result of slight differences in boundaries
Model Builder
o Way to string functions together to create work flow
o Useful for grouping sets of related functions for repeated use
o Created inside toolboxes
o Can be shared with others and converted to scripts
Spatial Interpolation
Computational procedure for estimating surface values for continuous variables at unsampled locations
Raster Calculator
Combines different rasters into one big raster
Neighborhood functions
mean, majority, variety
Zonal Functions
o Two input data – zone layer: defines boundaries of zone – Value layer: defines the value of the phenomena
Density Functions
o Count number of features within specified circle, divide by circle area to yield density value
Heatmap
Symbology draws point features as a dynamic, representative surface or relative density
Least Cost Path
Uses cost raster (slope) to quantify cost of travel and combines it with distance raster to determine the easiest route between points
Aspect
o Deepest downslope direction
o Determines direction of water flow over terrain surface
Shaded Relief Map
o Shadow effect produced by interaction of sun with topographic surface
Viewshed Analysis
o Region that is visible from a given vantage point in the terrain
Flow Direction
o Determined by comparing elevation data of a cell to its neighbors
Snapping
o Used to snap or align an extent during execution
o When output cell is same size as snap raster size, the cells in output raster are aligned with cells of snap raster
Resources
Data sets, web maps, geoprocessing services
Data sets
can be downloaded and stored locally
web maps
provide content that can also be used by mobile devices
Geoprocessing services
allow analysis to be performed on server side
Work flow
o Sequence of data management or analysis steps needed to complete task, allows less chance for errors
Metadata
Data about data; where it came from, how it should be used
CSDGM
content standard for digital geospatial metadata
lineage
where data came from and how it was processed, metadata related to data quality
feature layer
point, line, or polygon features and their attributes