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Mosiac Tool
Combines multiple raster files into a single raster dataset
Developable Surface
A geometric shape onto which the Earth surface locations are projected
Types of Projection Surfaces
Cylindrical
Conic
Azimuthal (Plane)
What type of projection is Mercator Projection?
cylindrical
How does projection affect x-y values?
Changes from decimal degrees to meters or feet
First step in creating a map projection
Create a point of contact between actual globe and projection surface
Name of point where globe touches projection surface
Point/Line of Tangency
Point/Line of Zero Distortion
Standard Parallel
Point/Line of Contact
Point/Line of True Scale
Standard Line
What is the Central Meridian
The line of longitude that defines the center and often the x-origin of a projected coordinate system.
What is scale on a map?
Ratio of a distance on a map or globe to its corresponding distance on the ground
A measure of projection distortion
Conic Projection
One or Two Points of Contact
Distortion increases at base of cone
Cylindrical Projection
Mercator Projection
Conformal (Shape)
True Direction
What is UTM
Universal Transverse Mercator
Transverse Cylindrical Projection
Azimuth Projection is great for what application?
Polar Projection
Three types of Planar (Azimuth) Projection
Orthographic
Gnomonic
Stereographic
Orthographic Projection
Point of perspective is at infinite distance in opposite direction from point of tangency (from space)
Gnomonic Projection
Point of perspective is located at center of Earth.
Useful for 30° to Poles
Stereographic Projection
Point of Perspective is on opposite surface of globe from point of contact
Useful for a hemisphere
Two most common map projections
Lambert Conformal Conic Projection (Shape Preserving)
Transverse Mercator (Shape and Direction Preserving)
Lambert Conformal Conic Projection
Cone intersects the ellipsoid along two arcs (2 standard parallels)
Preserves Shape
Basis of State Plane Coordinate (SPC) Systems for states with an EAST-WEST orientation (little distortion along standard parallel)
UTM
Universal Transverse Mercator
Developed in 1700s
Basis of pretty much every global map projection
UTM Coordinate System
X and Y coordinates
X - Easting
Y - Northing
METERS
UTM Zones
60 zones
6 degrees longitude wide 8 degrees latitude tall
Zones from 80 degrees South to 84 Degrees North
Each zone is further divided into North and South
What region is excluded by UTM
Polar regions (use azimuthal projection)
How does UTM zone numbering work
1 to 60. 1 starts at International Date Line and travels east around globe. 30 is England
UTM Zone of Alabama
16 North
Grid - 16S
Formula for zone number
Longitude (west is negative, east is positive) + 180° / 6
How do states with multiple UTM zones generate maps?
A UTM like system that places central meridian near center of the state
Coordinates within a UTM zone
All coordinates are positive within the zone
Central meridian is easting 500 km.
Farthest west is 160km. Farthest east is 834 km.
For Northern Hemisphere Equator is Northing 0 Km up to 10,000 km at north pole
For southern Hemisphere equator is Northing 10,000 km and south pole is 0 km
Width of UTM Zone in meters
674000 meters
Pros of UTM
- True Distance Map
- Coordinates are directly tied to distance
- No negative coordinates
- Decimal based coordinates
State Plane Coordinate System
Divide US into 120 zones. Lambert Conformal Conic and UTM projections are the basis.
LCC for East west oriented states (Tennessee)
UTM for North South Orientated States (Alabama)
Minimizes distortion as much as possible
Zones split along county lines.
How many zones does alabama have in the State Plane system
2. East and west
Factors to consider when choosing a map projection
- Purpose (true direction for navigation)
- Extent of area to be mapped (a state versus country)
- Location of region (polar, equator)
- Shape of region (more north south or east west)
Changing Projections
Two step Process
- Invert projection to Lat and Long.
- Transform into new projection system
4 Characteristics of Maps
Scale
Resolution
Accuracy
Projection
Scale
Indicates scale distance of unit on map to real life.
1 inch on map is 1,000,000 inches in real life SMALL SCALE
1 inch on map is 1,200 inches in real life LARGE SCALE
Small Scale
Zoomed way out
Large area little detail
Big number
Large Scale
Zoomed in
Small area big detail
Small number
Map Resolution
Refers to how accurately the location and shape of map features can be depicted for a given map scale
Small features are hard to represent on a small scale
Map Accuracy
- Flattening round earth onto 2D surface
- Accurately measuring location on Earth
- Digitizing processor error
- Machine precision when storing in computers
ArcCatalog
Arranges and manages geographic information in workspace folders and geodatabases.
ArcMap
the component of ArcGIS used for viewing and analyzing data
ArcToolbox
a suite of tools, available from both ArcMap and ArcCatalog, for analyzing, transforming, and querying geographic data.
Data Frame
a container holding layers that are viewed and analyzed together; a map view
Drawing Order
Layers on top to layer on bottom
Geoprocessing Background
OFF!
If it is on then arc map will crash
Types of GIS objects
Polygons, Lines, Points
How do GIS maps work?
Using layers that contain features (vector) or surfaces (rasters)
Raster
Matrix of identically sized square cells (surfaces)
Record
Row for each feature in layer
Field
Column for each category of information
Buffer
A region around a vector element that indicates distance from that element
Map Forms
Feature Map
Choropleth Map
Contour Map
Quantitative Map
Feature map
Simple map with points, lines, and areas
Choropleth Map
a map that uses differences in shading, coloring to indicate the average values of a property or quantity in those areas.
Quantitative Map
Dot density map
Contour Map
Lines of equal value also called isopleth
Map Generalization
the unavoidable approximation of real features when they are represented on a map.
types of map generalization
Fused - Group features into one big one
Simplified - Smooth edges
Displaced - Separate features slightly for better resolution
Omitted - Small features ignored
Exaggerated - Make bigger to see more details
Digitizing
converting coordinates from a map, image or other source into a digital format in a GIS
Digitizing error
Positional errors are unavoidable when data are manually digitized
Points not snapped together
Location errors
-Geometric inaccuracies of digitized features
-Can be examined by referring to the data source for digitizing
Topological Errors
Errors caused due to violation of topological relationship
Undershoot
Nodes that do not reach the line or another node
Overshoot
Occurs when line cross over existing line or node
Node snapping
Reduce errors by forcing a new point to connect to an existing point
Personal Geodatabase
A geodatabase that stores data in Microsoft Access. A personal geodatabase can be read simultaneously by several users, but only one user at a time can edit the same data.
Multiple files or datasets to store everything
Feature Oriented Editing
Base new features off of an already existing one in the layer
Splitting features
Cut Polygon Features
Sliver polygon
A small, narrow, polygon feature that appears along the borders of polygons following the overlay of two or more geographic datasets. Sliver polygons may indicate topology problems with the source polygon features, or they may be a legitimate result of the overlay.
How to fix sliver polygon
integration tool
Eliminate Tool
Join
Brings spatial and non-spatial datasets together
Requires a common attribute in both datasets
Appends attributes of non-spatial table to layer attribute table
Relate
Simply defines a relationship between two tables but does not append attributes
Temporary connection to access data but keeps tables separate
Relate is appropriate for all four types of relationships
Common Field for Join/Relate
Does not have to be same name, just same data type
(ex. text with text)
How long do joins last
They are temporary and must be exported to be saved
How does join work if there aren't matches
Null values assigned
Four types of relational databases
One to one
One to many
Many to one
Many to many
One to one
Only one record in table is related to another
One to many
One record related to many records
Many to one
Many records in a table related to one record in another table
Many to Many
Many records in a table related to many records in another table
Which relations are best for join?
One to one and many to one
Digital elevation model
Provide elevation data in raster format
Come from ground and aerial survey
Mosiah 3:19
Put off the natural man and become a Saint through the Atonement.
Projection issues with Raster
Project Raster - changes existing projection
Define Projection - no projection exists and create from scratch
Errors in DEM
Sinks or Peaks
Sink
Area surrounded by higher elevation values and is a depression or pit
Peak
Area surrounded by cells of lower value
Terrain Preprocessing
1. Fill Sinks
2. Flow Direction
3. Flow Accumulation
4. Watershed Outlet
5. Watershed
Fill Sink
Remove small imperfections in raster DEM data
Flow direction
Raster of flow direction from each cell to its steepest downslope neighbor
32 64 128
16 X 1
8 4 2
Flow accumulation
Calculates accumulated flow as the weight of all cells flowing into each downslope cell in the raster
Watershed outlet
Snap point for raster set to know where the specified boundary of watershed should be drawn
(If you choose a point up stream will have multiple smaller watersheds)
Extract by Mask
Extract cells of raster based on area defined by mask
4 fundamental classes of raster functions
Local
Focal
Zonal
Global
Local raster function
Only looks at each cell individually
(could be multiple layers stacked ontop of each other from temporal data and get average)
Focal raster function
Function of a cell and its surrounding neighborhood of cells
Operation involves cells contained given window
Overlapping
4 common neighborhood shapes
Rectangular - most common
Circle
Annulus - doughnut
Wedge - directional component
Zonal raster function
Similar to zonal but now zone is all cells with a similarly shared given value (can also be a mask)
Can be contiguous or noncontiguous
Block functions
Neighborhood function that assigns one value to all cells within a moving, non-overlapping neighborhood or block.