Mapping Your Data 1

37
Mapping Your Data Christopher Martin csmartin@buffalo.edu

description

The first presentation for the mapping your data workshop. Much more informative, but not nearly as hands on. From an informational standpoint its better then 2, but from a workshop stand point it\'s much worse.

Transcript of Mapping Your Data 1

Page 1: Mapping Your Data 1

Mapping Your Data

Christopher [email protected]

Page 2: Mapping Your Data 1

Data ModelsData Models

Two primary data models used when making mapsRaster DataVector Data

Two primary data models used when making mapsRaster DataVector Data

Page 3: Mapping Your Data 1

Raster DataRaster Data

Consists of discrete cells (think graph paper) Each cell has a discrete valueOccur in rows and columns

ExamplesImages (all image types)DEM

Consists of discrete cells (think graph paper) Each cell has a discrete valueOccur in rows and columns

ExamplesImages (all image types)DEM

Page 4: Mapping Your Data 1

Vector DataVector Data

Each position is represented by coordinates

Coordinates are connected to form lines or polygons

Points, lines and polygons are then used to represent geographic features

ExamplesShapefile

Each position is represented by coordinates

Coordinates are connected to form lines or polygons

Points, lines and polygons are then used to represent geographic features

ExamplesShapefile

Page 5: Mapping Your Data 1

Points, Lines, PolygonsPoints, Lines, Polygons

Page 6: Mapping Your Data 1

Data SourcesData Sources

US Census BureauNot just population data Generalized Boundary Data

ESRITIGER/LINENED DataFEMA Q3 Flood Data

USGSSEAMLESS Distribution

US Census BureauNot just population data Generalized Boundary Data

ESRITIGER/LINENED DataFEMA Q3 Flood Data

USGSSEAMLESS Distribution

Page 7: Mapping Your Data 1

Data Sources (cont’d)Data Sources (cont’d)

NYS GIS Clearing HouseMembership requiredWide variety of data

CUGIRNYS and National dataFree, huge variety

CIGARWorldwide Elevation Data

Columbia University EDSElectronic Data Service

NYS GIS Clearing HouseMembership requiredWide variety of data

CUGIRNYS and National dataFree, huge variety

CIGARWorldwide Elevation Data

Columbia University EDSElectronic Data Service

Page 8: Mapping Your Data 1

Data Sources (cont’d)Data Sources (cont’d)

Geography NetworkAggregates data from different

providersOnline Map Server Available

Geography NetworkAggregates data from different

providersOnline Map Server Available

Page 9: Mapping Your Data 1

Data QualityData Quality

Meta DataData about the dataAll legitimate providers will provide

thisAvailable for download or online

viewing

Meta DataData about the dataAll legitimate providers will provide

thisAvailable for download or online

viewing

Page 10: Mapping Your Data 1

Map ScaleMap Scale

The ratio between the distance on the map, and the distance in real lifeALWAYS expressed in terms of 1Usually a ratio

E.g. 1:100000, 1:10000

Other scales are availableVisual scale is the second most common

The ratio between the distance on the map, and the distance in real lifeALWAYS expressed in terms of 1Usually a ratio

E.g. 1:100000, 1:10000

Other scales are availableVisual scale is the second most common

Page 11: Mapping Your Data 1

Coordinate SystemsCoordinate Systems

Two types of coordinate systems used in geographySpherical (Latitude and Longitude)

Typically not used in ArcGISAlways used in Google Earth

RectangularPredominantly used in Arc and GIS in generalUTM - Universal Transverse MercatorState PlaneOther countries have their own.

Two types of coordinate systems used in geographySpherical (Latitude and Longitude)

Typically not used in ArcGISAlways used in Google Earth

RectangularPredominantly used in Arc and GIS in generalUTM - Universal Transverse MercatorState PlaneOther countries have their own.

Page 12: Mapping Your Data 1

Spherical Coordinate System

Spherical Coordinate System

Based on meridians and parallelsLatitude (parallels)

Measured northward or southward from the equator to poles Ranging 0-900 north or south The measuring units are degrees, minutes, and seconds, 10 =

60’ and 1’=60” The length of one degree latitude is similar everywhere, ≈

111km/69miles Longitude (meridians)

Measured eastward or westward from the Prime Meridian at Greenwich, England to the International Date Line

Ranging 0-1800 east or west The measuring units are the same as Latitude Length of one degree longitude reduces toward poles

Based on meridians and parallelsLatitude (parallels)

Measured northward or southward from the equator to poles Ranging 0-900 north or south The measuring units are degrees, minutes, and seconds, 10 =

60’ and 1’=60” The length of one degree latitude is similar everywhere, ≈

111km/69miles Longitude (meridians)

Measured eastward or westward from the Prime Meridian at Greenwich, England to the International Date Line

Ranging 0-1800 east or west The measuring units are the same as Latitude Length of one degree longitude reduces toward poles

Page 13: Mapping Your Data 1

Rectangular Coordinate Systems

Rectangular Coordinate Systems

Convert the curved surface of the earth onto a flat surface

Standard cartesian coordinates, but different namesX is called “Easting”Y is called “northing”

Convert the curved surface of the earth onto a flat surface

Standard cartesian coordinates, but different namesX is called “Easting”Y is called “northing”

Page 14: Mapping Your Data 1

Universal Transverse Mercator

Universal Transverse Mercator

Based on the mercator map projectionDivides the world into 60 zones

Starts at 180 degrees longitudeEach zone is 6 degrees of longitude wideLabeled 1-60 going eastward

And 20 RowsLabeled C-X, skipping I and O

Intersection of Row and Zone is a QuadrangleUsually referred to as “quad”

Measurement unit is meters

Based on the mercator map projectionDivides the world into 60 zones

Starts at 180 degrees longitudeEach zone is 6 degrees of longitude wideLabeled 1-60 going eastward

And 20 RowsLabeled C-X, skipping I and O

Intersection of Row and Zone is a QuadrangleUsually referred to as “quad”

Measurement unit is meters

Page 15: Mapping Your Data 1

Universal Transverse Mercator

Universal Transverse Mercator

Page 16: Mapping Your Data 1

State PlaneState Plane

Used exclusively in the United StatesThe US is divided into 120 zones

Follow state and county linesEach state has its own map

projectionNorth to South states use MercatorEast to West states use Lambert

Conformal Conic

Used exclusively in the United StatesThe US is divided into 120 zones

Follow state and county linesEach state has its own map

projectionNorth to South states use MercatorEast to West states use Lambert

Conformal Conic

Page 17: Mapping Your Data 1

State PlaneState Plane

Page 18: Mapping Your Data 1

So What?So What?

Page 19: Mapping Your Data 1

Map ProjectionsMap Projections

A way to convert coordinates from spherical (earth) to flat (map)Projections define how to to

transform the spherical coordinates to flat ones

They are NOT map coordinatesClassified two ways

By the surface projected ontoBy what gets distorted

A way to convert coordinates from spherical (earth) to flat (map)Projections define how to to

transform the spherical coordinates to flat ones

They are NOT map coordinatesClassified two ways

By the surface projected ontoBy what gets distorted

Page 20: Mapping Your Data 1

SurfacesSurfaces

Developable SurfacesWhat kind of shape will we use?It has to be 2D, and we need to be able to

“unroll” itThe earth gets “wrapped” in the shape, and

the surface is transferred to the 2D shape

TypesCylindrical, Conic, Azimuthal

Developable SurfacesWhat kind of shape will we use?It has to be 2D, and we need to be able to

“unroll” itThe earth gets “wrapped” in the shape, and

the surface is transferred to the 2D shape

TypesCylindrical, Conic, Azimuthal

Page 21: Mapping Your Data 1

Cylindrical ProjectionsCylindrical Projections

MercatorTransverse Mercator

MercatorTransverse Mercator

Page 22: Mapping Your Data 1

Azimuthal ProjectionsAzimuthal Projections

Top down viewOr Bottom Up

Top down viewOr Bottom Up

Page 23: Mapping Your Data 1

Conic ProjectionsConic Projections

Used to focus on a particular continentLeast amount of

distortion for east-west direction

Used to focus on a particular continentLeast amount of

distortion for east-west direction

Page 24: Mapping Your Data 1

Distortion ProjectionsDistortion Projections

All maps distortIt’s inevitable

Projections can be grouped based on WHAT is distortedConformal - shapes are the sameEqual-Area - areas are the sameEquidistant - distances are the same*

All maps distortIt’s inevitable

Projections can be grouped based on WHAT is distortedConformal - shapes are the sameEqual-Area - areas are the sameEquidistant - distances are the same*

Page 25: Mapping Your Data 1

Projection ExampleProjection Example

Page 26: Mapping Your Data 1

Measuring DistortionMeasuring Distortion

Page 27: Mapping Your Data 1

Comparisons of Projections

Comparisons of Projections

Map Projection PosterMap Projection Poster

Page 28: Mapping Your Data 1

Map TypesMap Types

Thematic MapsNot reference maps

Four main typesChoropleth MapProportional MapIsarithmic Map (contour)Dot Map

Thematic MapsNot reference maps

Four main typesChoropleth MapProportional MapIsarithmic Map (contour)Dot Map

Page 29: Mapping Your Data 1

Choropleth MapChoropleth Map

Shaded AreasThe “color” of the shade varies based

on measurement of our variable

Shaded AreasThe “color” of the shade varies based

on measurement of our variable

Page 30: Mapping Your Data 1

Isarithmic MapIsarithmic Map

Also known as Contour MapsWe draw lines to

connect separate variables that have the same value

Also known as Contour MapsWe draw lines to

connect separate variables that have the same value

Page 31: Mapping Your Data 1

Proportional Symbol MapProportional Symbol Map

Uses symbolsThe size of the

symbol varies according to the variable

Uses symbolsThe size of the

symbol varies according to the variable

Page 32: Mapping Your Data 1

Dot Density MapDot Density Map

Uses dotsSize is uniform,

but the concentration represents changes in the variable

Uses dotsSize is uniform,

but the concentration represents changes in the variable

Page 33: Mapping Your Data 1

CartogramsCartograms

Are NOT mapsArea is not preservedArea of the geographic regions varies by

variable

Two primary typesArea

Area gets larger or smaller depending on the variable

DistanceNodes or places can be closer or farther depending on

realtive distance

Are NOT mapsArea is not preservedArea of the geographic regions varies by

variable

Two primary typesArea

Area gets larger or smaller depending on the variable

DistanceNodes or places can be closer or farther depending on

realtive distance

Page 34: Mapping Your Data 1

CartogramCartogram

Page 35: Mapping Your Data 1

File FormatsFile Formats

ShapefileA collection of points, lines and polygonsTabular data values assocated with each

DEMRaster data, each cell represents

elevationComes in different resolutions

ShapefileA collection of points, lines and polygonsTabular data values assocated with each

DEMRaster data, each cell represents

elevationComes in different resolutions

Page 36: Mapping Your Data 1

Getting to Know ArcGISGetting to Know ArcGIS

ArcMapYour main tool. Handles map layout,

projection, data classification, analysisArcCatalog

Asset management program. Maps drives of data for easy access, displays meta data, manages database connections

ArcViewOlder version of ArcMap.

ArcScene3D rendering

ArcMapYour main tool. Handles map layout,

projection, data classification, analysisArcCatalog

Asset management program. Maps drives of data for easy access, displays meta data, manages database connections

ArcViewOlder version of ArcMap.

ArcScene3D rendering

Page 37: Mapping Your Data 1

Your friend, the ShapefileYour friend, the Shapefile

A MisnomerMore the one file

Vectors in one fileData in anotherIndex in anotherOptionally a projection file

A MisnomerMore the one file

Vectors in one fileData in anotherIndex in anotherOptionally a projection file