Thursday, August 6, 2015

APPLICATIONS OF GIS IN SOIL RESOURCE MANAGEMENT

Soil is a natural resource that is fundamental for all human uses. Soil is primarily used for agriculture and soil erosion plays a major role in causing serious disruption in agricultural activity. Soil erosion occurs mainly due to natural disasters like floods and droughts. Prevention and mitigation are effective ways to manage this problem. GIS in conjunction with the Universal Soil Loss Equation (USLE) can be used to evaluate the risk area of soil erosion. The USLE is the most commonly used estimator of soil loss caused by overland erosion. It is used in most parts of the world including India.
The assessment of soil erosion using GIS according to the flowchart shown below:


Each of the USLE factors with associated attribute data is digitally encoded in a GIS database to eventually produce five thematic layers. These are the spatially overlaid to produce a resultant polygonal layer. Application of the USLE model to the resultant layer yields a soil erosion map with classes of soil loss. Thus GIS can provide detailed information to locate areas that are at a risk of soil erosion and areas that are suitable for agriculture.

Definitions of GIS

DEFINITIONS OF GIS

Toolbox based definitions
(i) GIS is a powerful set of tools for collecting, storing, retrieving at will, transforming and displaying spatial data from the real world (Burrough 1986)
(ii) GIS is a system for capturing, storing, checking, manipulating, analysing and displaying data which are spatially referenced to the Earth (Department of Environment 1987)
(iii) GIS is an information technology which stores, analyses and displays both spatial and non-spatial data (Parker 1988)

Database definitions
(i) GIS is a database system in which most of the data are spatially indexed and upon which a set of procedures operated in order to answer questions about spatial entities in the database.
(Smith et al 1987)
(ii) GIS is any manual or computer based set of procedures used to store and manipulate geographically referenced data. (Aronoff 1989)

Organization based definitions
(i) GIS is an automated set of functions that provides professionals with advanced capabilities for the storage, retrieval, manipulation and display of geographically located data.
(Ozemoy, Smith and Sicherman 1981)
(ii) GIS is an institutional entity reflecting an organizational structure that integrates technology with a database, expertise and continuing financial support over time. (Carter 1989)
(iii) GIS is a decision supporting system involving the integration of spatially referenced data in a problem solving environment. (Cowen 1988)

INDEX

http://mjcetce409.blogspot.in/2015/06/gis-unit-1-syllabus-ou.html

http://mjcetce409.blogspot.in/2015/06/ou-gis-unit-ii.html

http://mjcetce409.blogspot.in/2015/06/gis-unit-3-syllabus-ou.html

GIS-Unit 4-Syllabus-OU
http://mjcetce409.blogspot.in/2015/09/gis-unit-4-syllabus-ou.html

GIS-Unit 5-Syllabus-OU
http://mjcetce409.blogspot.in/2016/07/gis-unit-5-syllabus-ou.html

http://mjcetce409.blogspot.in/2015/06/references.html

http://mjcetce409.blogspot.in/2015/07/maps.html

Maps - Basic components, Types of maps & Map analysis
http://mjcetce409.blogspot.in/2016/07/maps-basic-components-types-of-maps-map.html

Important terms in GIS and Remote Sensing
https://mjcetce409.blogspot.com/2019/11/important-terms-in-gis-and-remote.html

http://mjcetce409.blogspot.in/2015/07/uses-and-limitations-of-paper-maps.html

http://mjcetce409.blogspot.in/2015/07/characteristics-of-maps-and-map.html

http://mjcetce409.blogspot.in/2015/07/salient-features-of-selected-projections.html

Definitions of GIS
http://mjcetce409.blogspot.in/2015/08/definitions-of-gis.html

http://mjcetce409.blogspot.in/2015/07/application-of-gis-in-agriculture.html

APPLICATIONS OF GIS IN SOIL RESOURCE MANAGEMENT
http://mjcetce409.blogspot.in/2015/08/applications-of-gis-in-soil-resource.html

References
http://mjcetce409.blogspot.in/2015/06/references.html

GIS OBJECTIVE QUESTIONS
http://mjcetce409.blogspot.in/2015/09/gis-objective-questions.html

GIS- Basics
http://mjcetce409.blogspot.in/2015/09/gis-basics.html

Birth and History of GIS
http://mjcetce409.blogspot.in/2015/09/birth-and-history-of-gis.html

Map projections and spatial referencing
http://mjcetce409.blogspot.in/2015/09/map-projections-and-spatial-referencing.html

Data types used in GIS
http://mjcetce409.blogspot.in/2015/09/data-types-used-in-gis.html

Data formats in a GIS
http://mjcetce409.blogspot.in/2015/09/data-formats-in-gis.html

Data structure in a GIS
http://mjcetce409.blogspot.in/2015/09/data-structure-in-gis.html

Data compression in GIS
http://mjcetce409.blogspot.in/2015/10/data-compression.html

Digital Elevation Data
http://mjcetce409.blogspot.in/2015/10/digital-elevation-data.html

Cartographic database
http://mjcetce409.blogspot.in/2015/10/cartographic-database.html

Conversion of existing digital data
http://mjcetce409.blogspot.in/2015/10/conversion-of-existing-digital-data.html

Remotely sensed data
http://mjcetce409.blogspot.in/2015/10/remotely-sensed-data.html

Object Structural Model in GIS
http://mjcetce409.blogspot.in/2015/10/object-structural-model-in-gis.html

Conflation, edge matching and editing operations in GIS
http://mjcetce409.blogspot.in/2015/10/conflation-edge-matching-and-editing.html

Analysis functions in GIS
http://mjcetce409.blogspot.com/2015/10/analysis-functions-in-gis.html

Cartographic modeling by GIS analysis - procedure with an example
http://mjcetce409.blogspot.in/2015/10/cartographic-modeling-by-gis-analysis.html

Raster Data Analysis
http://mjcetce409.blogspot.in/2015/10/raster-data-analysis.html

GIS and Knowledge Based Systems
http://mjcetce409.blogspot.in/2015/10/gis-and-knowledge-based-systems.html

Classification of GIS models
http://mjcetce409.blogspot.in/2015/10/classification-of-gis-models.html

Digital Elevation Data
http://mjcetce409.blogspot.com/2015/10/digital-elevation-data_12.html

Editing functions in GIS
http://mjcetce409.blogspot.in/2015/10/editing-and-query-functions-in-gis.html

Diagram of a Networked Database Structure
http://mjcetce409.blogspot.in/2015/10/diagram-of-networked-database-structure.html

A heirarchical database structure based on a simple map
http://mjcetce409.blogspot.in/2015/10/a-heirarchical-database-structure-based.html

Diagram Showing Vector Topology
http://mjcetce409.blogspot.in/2015/10/diagram-showing-vector-topology.html

Diagram depicting vector and raster representations of map features and their linkage to the attribute database
http://mjcetce409.blogspot.in/2015/10/diagram-depicting-vector-and-raster.html

Diagram depicting linkage between Spatial data and Attribute data in a coverage
http://mjcetce409.blogspot.in/2015/10/diagram-depicting-linkage-between.html

Diagram showing the conceptual data model
http://mjcetce409.blogspot.in/2015/10/conceptual-data-model.html

Map Annotations
http://mjcetce409.blogspot.in/2015/10/map-annotations.html

Conflation in GIS
http://mjcetce409.blogspot.in/2015/10/conflation-edge-matching-and-editing.html

Transformation in GIS
http://mjcetce409.blogspot.com/2015/10/transformation-in-gis.html

Spatial Analysis in GIS
http://mjcetce409.blogspot.com/2015/10/spatial-analysis-in-gis.html

Connectivity functions
http://mjcetce409.blogspot.com/2015/10/connectivity-functions.html

Analysis of non spatial attribute data
http://mjcetce409.blogspot.in/2015/11/maintenance-and-analysis-of-non-spatial.html

Important objective questions
http://mjcetce409.blogspot.in/2015/11/important-objective-questions.html

Cost-Benefit analysis of an investment in GIS
http://mjcetce409.blogspot.com/2015/11/cost-benefit-analysis-of-investment-in.html

Text patterns and line styles
http://mjcetce409.blogspot.in/2015/11/text-patterns-and-line-styles.html

Sampling GIS data
http://mjcetce409.blogspot.in/2015/11/sampling-gis-data.html

Types of errors in GIS data, their elimination and accuracies
http://mjcetce409.blogspot.in/2015/11/types-of-errors-in-gis-data-their.html

Components of data quality
http://mjcetce409.blogspot.in/2015/11/components-of-data-quality.html

Graphic symbols
http://mjcetce409.blogspot.in/2015/11/graphic-symbols.html

Types of errors in GIS
http://mjcetce409.blogspot.in/2015/11/types-of-errors-in-gis.html

Neighbourhood operations
http://mjcetce409.blogspot.in/2015/11/neighbourhood-operations.html

Record overlay
http://mjcetce409.blogspot.com/2015/11/record-overlay.html

Modelling in GIS
http://mjcetce409.blogspot.in/2015/12/modelling-in-gis.html

Simple analysis in GIS
http://mjcetce409.blogspot.in/2015/12/simple-analysis-in-gis.html

Output formatting
http://mjcetce409.blogspot.in/2015/12/output-formatting.html

Map transformations
http://mjcetce409.blogspot.in/2016/07/map-transformations.html

Electromagnetic radiation and its characteristics
http://mjcetce409.blogspot.in/2016/07/electromagnetic-radiation-and-its.html

Software Scenario Functions: Visibility Analysis
http://mjcetce409.blogspot.com/2016/08/software-scenario-functions-visibility.html

Interaction of EMR with the Earth's surface
http://mjcetce409.blogspot.com/2016/08/interaction-of-emr-with-earths-surface.html

Types of Sensors
http://mjcetce409.blogspot.com/2016/08/types-of-sensors.html

Diagrammatic representation of types of sensors
http://mjcetce409.blogspot.com/2016/08/diagrammatic-representation-of-types-of.html

Remote sensing data products
http://mjcetce409.blogspot.in/2016/08/remote-sensing-data-products.html

Interpretation of remote sensing data
http://mjcetce409.blogspot.in/2016/08/interpretation-of-remote-sensing-data.html

Characteristics of Indian Remote Sensing series of satellite
http://mjcetce409.blogspot.in/2016/08/characteristics-of-indian-remote.html

Software Scenario Functions: Environmental modelling
http://mjcetce409.blogspot.in/2016/08/software-scenario-functions.html

Software Scenario Functions: Watershed Modelling
http://mjcetce409.blogspot.com/2016/08/software-scenario-functions-watershed.html

Using GIS for making decisions under uncertainty
http://mjcetce409.blogspot.in/2017/09/using-gis-for-making-decisions-under.html

An overview of the concepts involved in spatial sciences
http://mjcetce409.blogspot.in/2017/12/an-overview-of-concepts-involved-in.html

An overview of Global Positioning Systems
http://mjcetce409.blogspot.in/2017/12/an-overview-of-gps.html

Overview of GIS
http://mjcetce409.blogspot.com/2017/12/overview-of-gis.html

Saturday, July 25, 2015

Important terms used in GIS

ABSOLUTE ACCURACY:
It is a measure of the difference between the location of the object as specified in a GIS and its true location in the real world

ADAPTIVE SAMPLING:
It is a data sampling technique that uses accumulated knowledge from samples already taken to direct future sampling. Ex: Redundant sample points may be rejected during the sampling process on the grounds that they carry too leittle extra information

ADDRESS GEOCODING:
It refers to the process of alphanumeric locational identifiers to spatially related information. The process implies a geographic base file which can be used to pass addresses in order to determine characteristics about the geometry.

ALBEDO:
The ratio of light reflected by a planet or satellite to that received by it.

ALIASING:
The appearance of jagged lines on a raster display

ANTI-ALIASING:
Anti-aliasing removes or greatly smoothes the jagged, stair-step appearance of a digital line by filling-in some of the intermediate and flanking cells in lower-intensity colors.

Arc:
A portion of the perimeter of a two dimensional closed figure lying between two nodes at which two or more arcs intersect. An arc usually represents a common boundary between two adjoining mapping units.

ARC SECOND:
The SIXTIETH part of of a minute of angular measuere represented by "

AREA:
A level of spatial measurement referring to a two dimensional defined space.

ASPECT:
It refers to the compass direction (usually from North) of the line of steepest slope at some selected point.

ASPECT RATIO:
It refers to the ratio of horizontal scale to vertical scale for printing or display

ATTRIBUTE:
It refers to the set or collection of data that describe the characteristics of real world entities or conditions

ATTRIBUTE QUERY:
It is the process of selecting data items from a file based system, based on values of specific attributes or combinations thereof defined by arithmetic, relational and logical expressions

AUDIT TABLE:
In a GIS, a table of information describing a maps subjects, items, perimeters and areas.

AUTOCORRELATION:
It refers to the statistical concepts expressing the degree to which one value of an attribute covaries with other values of the same attribute. Especially in the spatial case, it refers to the degree to which the values of an attribute of two objects covary with the distance separating them.
Mathematical autocorrelation techniques can be applied to overlapping image segments in processes such as mosaicking and raster-to-vector registration. Ex: Autocorrelation can automatically find the best seam between overlapping image segments.

AUTOMATED CARTOGRAPHY:
It is the process of drawing maps using computer driven display devices such as plotters and graphic screens.

AVHRR IMAGERY:
Advanced Very High Resolution Radiometer Imagery produced by NOAA satellites

AVIRIS IMAGERY:
Airborne Visible Infra-Red Imaging Spectrometer imagery. These are multispectral images of approximately 240 coregistered spectral bands collected by NASA aircraft.

AZIMUTH:
The angle defined by the intersection of a map's central line of projection with any meridian. If a map projection uses a central line that is oriented to the TRUE NORTH, such as a standard meridian, the azimuth is 'ZERO'.

AZIMUTHAL PROJECTION:
It is a class of map projections in which the directions of all lines radiating from a central point are the same as the directions of corresponding lines on the sphere. Azimuthal projections are formed onto a plane which is usually tangent to the globe at a pole (polar projection), at a point on the equator or any selected intermediate point. Most azimuthat maps do not have standard parallels or standard meridians. Each map has only one standard point, "THE CENTER".
*Azimuthals are suitable for minimizing distortion in a circular region such as antarctica BUT NOT for an area with a predominant length in on direction*

BAND OR SPECTRAL BAND:
A range of wavelength of electromagnetic radiation.

BASE DATA:
It is the base level of map data on which other information is placed for purposed of comparison or graphical correlation. Map data that RARELY CHANGES and is USED  REPEATEDLY is called base data.

BEARING:
It is the horizontal angle of a direction, measured in the quadrant of the line as degrees East or West.
Ex: NE = 45 degrees East of North; SW = 45 degrees West of South

CADASTRAL LAYER:
A set of information depicting the pattern of land ownership rights in an area.

CARDINAL DIRECTION:
The four principal directions: North, East, West and South.

CARTESIAN COORDINATES:
A coordinate system in which location of points in space is expressed by reference to three perpendicular axes (x,y,z)

CARTOGRAPHY:
The art or science of making maps

CELL:
One value in a raster that corresponds to a specific area on the ground

CENTRAL MERIDIAN:
The North-South meridian of a map projection around which the map is centered.

CHANGE IMAGE:
An image produced using raster algebra that shows change over time between coregistered images. (Multitemporal image processing)
Ex: Subtracting old raster image from New raster object could show the difference between early season crop development and mid-season development or between pond surface area from year to year.

CHOROPLETH MAP:
A map with areas coloured or shaded such that the darkness or lighness of an area symbol is proportional to the density of the mapped phenomenon. It is a map of uniform values separated by abrupt boundaries. ADJACENT AREAS ARE NOT NECESSARILY CLOSE IN VALUE.

CIR IMAGE:
Colour Infra Red Image. These images are collected by an electron scanner or a camera that uses a special film with sensitivity from green through infrared. Photographic infrared radiation just beyond the range of human vision is displayed as red. Normal red from the scene becomes green and green becomes blue. Normal blue is filtered out and not recorded.
CIR images are used to show vigor of plant life. Healthy vegetation appears red while distressed or damaged vegetation appears pink, tan or yellow.

CLUMP:
It represents a set of contiguous line, node and polygon elements in a vector object

CLUSTERING:
It is a process in which multiple, spatially coincident, coregistered raster objects are reduced to a single raste object called a cluster map.

CMY:
Cyan-Magenta-Yellow

COGO:
Coordinate Geometry. A set of mathematical tools and functions for encoding and converting bearings, distances, angles etc into coordinate information. Data is input and the geometry is determined automatically.

COMPLEX CORRELATION:
It is the ability to compare maps representing different time periods, extracting time differences, or computing indices of change. It is a multitemporal analysis function.

COMPLEX GENERALIZATION:
It refers to generalization that may require change in the type of an object or relocation in response to cartographic rules.

COMPOSITE MAPS:
It refers to a single map created by joining together several separately digitized or scanned maps.

COMPRESSION:
It is a method for reducing the file size usually using a run-length coding algorithm

CONDITIONAL MAP ELEMENT:
It refers to a piece of map upon which society places conditions. Ex: Land use, Zoning, Historic district etc.

CONNECTIVITY ANALYSIS:
It is the ability to identify areas or points that are not connected to other areas or points by linear features.

CONTIGUITY ANALYSIS:
It refers to the adjacency relationships between any given polygon and its neighbours. This involves summarizing and relating attributes of neighbouring polygons to the polygon being examined.

CONTINUOUS DATA:
Data in a raster object is said to be continuous if it can be represented by a three dimensional surface such that intermediate values can be derived with meaningful results.

CONTOUR (N):
It is an imaginary line on the ground, all points of which are at the same elevation above or below a specific datum (M.S.L.)

CONTOUR (V):
It refers to interpolation of elevation of points at specific intervals when elevations of a set of regularly or irregularly spaced points is given.

CONTOUR MAP:
It is a topographic map that uses contour lines to portray relief . Contour lines join points of equal elevation.

CONTROL POINT:
Points and or cells which are used to establish map coordinate control for uncalibrated objects. In the manual mosaic process, a control point is a feature in a piece of the mosaic for which the map coordinates are known. In the raster-to-vector calibration process, a control point is a feature that is co-located between the uncalibrated raster object and the calibrated vector overlay. A control point shows on both a raster object and an overlaying vector object.

Thursday, July 16, 2015

Salient features of selected projections

SALIENT FEATURES OF POLYCONIC PROJECTION

  1. All parallels are projected without distortion (Scale is exact along all parallels)
  2. Parallels are arcs of circles but they are not concentric
  3. It is neither conformal nor equal area
  4. Central meridian and equator are straight lines; All other meridians are complex curves
  5. There is NO DISTORTION ONLY AT CENTRAL MERIDIAN
  6. It is used in India for all topographical mapping on 1:25,000; 1:50,000 and 1:250,000 scales
The disadvantages of this projection are listed below:
  1. It can have a rolling fit only
  2. Meridians and parallels do not intersect at right angles
  3. Inability to show seamless data in a rectangular coordinate system
The polyconic projection is not being used for mapping anywhere in the world except India and a few adjacent countries.


SALIENT FEATURES OF LAMBERT CONFORMAL CONIC PROJECTION

  1. It is a conical projection
  2. It is conformal
  3. Parallels are unequally spaced arcs of concentric circles, more closely spaced near the center of the map
  4. Meridians are equally spaced radii of the same circles, thereby cutting parallels at right angles
  5. Scale is true just along two standard parallels or along just one
  6. Intersection of central parallel and central meridian is the origin of rectangular coordinate system
  7. Central meridian is Y-axis and a line perpendicular to it is X-axis
  8. A large value is given to the origin so that ALL coordinates for the projection are POSITIVE
  9. The origin assumes a value (0,0) is also known as 'FALSE ORIGIN'

SALIENT FEATURES OF TRANSVERSE MERCATOR PROJECTION

  1. It is a widely used conformal projection
  2. It is a cylindrical projection
  3. It is conformal
  4. The central meridian, each meridian 90 degrees from the central meridian and equator are straight lines
  5. Other meridians and parallels are complex curves
  6. Scale is true along central meridian or along two straight lines equidistant and parallel to central meridian
  7. Scale becomes infinite 90 degrees from central meridian
  8. It is used extensively for quadrangle maps at scales 1:24,000 to 1:250,000
  9. It was presented by lambert in1772
  10. It is not used in India but extensively used in USA
  11. The State Plane Coordinate System (SPCS) is based on the Transverse Mercator Projection in USA for states with North-South extent
  12. It is used for quadrangle maps in the USA
  13. It is used for army map service in the USA
  14. Ordnance Survey of Great Britain switched to transverse mercator from cassini
  15. It is used in Canada in three zones.

SALIENT FEATURES OF UNIVERSAL TRANSVERSE MERCATOR PROJECTION

  1. It is a particular case of transverse mercator projection
  2. Transverse mercator in this projection is 6 degrees wide
  3. Reference ellipsoid for North America was given by Clark in 1866
  4. Central meridian is the origin for the longitude
  5. Equator is the origin for the latitude
  6. Unit for distance is metre (m)
  7. False northing is 0m for northern hemisphere and 10,000,000m for southern hemisphere
  8. False easting is 500,000m
  9. Scale factor at central meridian is 0.9996
  10. Zone numbering begins at 1 for zone between 180 W and 174 W and increases to 60 for zone bounded by meridians 174 E and 180 E (Each zone 6 degrees wide)
  11. Latitude limits 80 N and 80 S
  12. Nearly 60 countries use this projection as the general use projection within the country
  13. It is NOT the universal projection for all countries.
  14. In India, it is used by NAVAL HYDROGRAPHIC SURVEYS for their maps and charts
Conversion among coordinate systems are carried-out mathematically using map projection equations and their inverses.

Characteristics of maps and map projections

Characteristics of maps:
  1. Maps are always concerned with TWO elements of reality:
        1. Location (spatial data) and 
        2. Attributes (aspatial or non-spatial data)
  2. Maps are reductions of true surfaces. They are two dimensional representations of the earths surface drawn to scale.
  3. Maps are usually outdated representations
  4. Maps are ALWAYS STATIC VERSIONS
  5. Maps cannot be updated. Updation requires preparation of a new map.
A map is a traditional method for storing, analysing and presenting spatial data

Topology is based on the geometric relationship of objects in a map

The purpose of a map is to turn data into information that will be communicated to the user.

Scale is defined as the ratio of a distance on the map to the corresponding distance on the ground. The units for distance should be the same.

THREE BASIC SYMBOL TYPES used are point, line and areas. They are used to represent real world features. The method used to represent a spatial feature DEPENDS ON THE SCALE USED

The relationship between scale and detail is called SCALE RELATED GENERALIZATION.

PROJECTION
-The Earth appears flat at close range
-The Earth is roughly SPHERICAL (as displayed in satellite images)
-Cartographers developed a set of techniques called "MAP PROJECTIONS" to depict the spherical earth in two dimensions with reasonable accuracy.

Imagine a football (inflated) with the image of the Earth on it = 3D representation of Earth
Now deflate the football = 2D representation of Earth

Projection is the process of placing a light bulb in transparent globe on which OPAQUE Earth features are placed and projecting the feature outlines on a 2D surdace surrounding the globe. The globe could be projected on:
-a flat piece of paper
-surrounding the globe in a cylindrical fashion or
-surrounding the globe in a cone

Each of the above three projections form a projection family called:
-Planar projection
-Cylindrical projection
-Conical projection and
-Azimuthal projection

-Projections are not absolute accurate representations of geographical space. The characteristic of maps that must be retained for accurate analytical operations dictate which projections must be used.

-IT IS IMPOSSIBLE TO PRESERVE ALL PROPERTIES AT THE SAME TIME WHEN PERFORMING A MAP PROJECTION.

When performing a map projection, selection of a map projection will be based on what property needs to be preserved. The properties that need to be considered are:
-angles
-shapes
-distances
-directions and
-areal sizes

Angular conformity / Conformal / Orthomorphic projection MAINTAINS correct angular correspondence. This leads to:
-Distortion of areas
-Incorrect measurement

-Equal area / Equivalent projections preserve areas

-Equidistant projections preserve distances

There is NO IDEAL MAP PROJECTION

A map projection can be defined as representation of meridians and parallels portraying the curved surface of the datum surface on a two dimensional plane.
The two surfaces should have a one to one correspondence with each other.
Origin is generally chosen as the intersection of CENTRAL MERIDIAN with CENTRAL PARALLEL.
  1. Map projections transfer the spherical earth onto a two dimensional surface thereby approximating the true shape of the earth. This introduces errors into spatial data.
  2. A projection is a method by which the curved surface of the earth is represented on a flat surface by using mathematical transformations between location of places on earth and their projected locations on the plane.
  3. When curved surface of the earth is shown on a plane, DISTORTION IS INEVITABLE
  4. Distortion is LEAST when the map shows SMALL AREAS and MAXIMUM when the map shows ENTIRE SURFACE OF THE EARTH.
Projections are broadly classified into:
  1. EQUAL AREA PROJECTIONS (display correct area)
  2. CONFORMAL PROJECTIONS (display correct shape/directions) and
  3. EQUIDISTANT PROJECTIONS (display correct distance)
Equal Area Projections (EAP) are used for estimating resource, forest coverage, etc in a region.
Conformal Projections (CP) are used in navigation purposes requiring accurate directions.
CP are also called orthomorphic projections
Ex: Lambert Conformal Conic and Transverse Mercator
Universal Transverse Mercator (UTM) is a special case of transverse mercator

Examples of Non-Conformal Projections are:
  1. Polyconic
  2. Cassini
  3. Alberts Equal area, etc
Important projections for mapping in India:
  1. Polyconic projection
  2. Lambert Conformal Conic projection
  3. Transverse mercator projection
  4. Universal Transverse Mercator projection and
  5. Cassini projection
All geographic surfaces are in TWO tangible formats:
-Discrete: They occupy a given point in space and time (Trees, Houses, etc)
They have zero dimensionality BUT some spatial dimension

-Continuous: They possess infinite number of possible height values distributed without interruption across the surface (Cliff,trenches, ridges, hills, etc)
They are described by:
-Citing their locations
-The area occupied by the feature and
-Their orientation with the addition of the third dimension

-Topographic map shows BOTH DISCRETE and CONTINUOUS information

-Elevation is shown as a series of contour lines

-Man-made features are shown by a lines and shapes

-Different kinds of information that is stored in various ways is called THEME

-DATUM PLANE is the reference surface from which all altitudes are measured. Usually, Datum plane = Mean Sea Level (MSL)

-ELEVATION or ALTITUDE is the vertical distance between GIVEN POINT and DATUM PLANE.

-Height is defined as the vertical difference between an object and its surroundings.

-Difference in elevation of an area between tops of hills and bottoms of valleys is known as relief of the terrain.

-A point of known elevation and position is indicated on a map by the letters B.M (Bench Mark) with the altitude given to the nearest foot.

-A map line connecting points representing places on the Earth's surface that have the same elevation is called CONTOUR LINE.

-Contours represent the THIRD DIMENSION on a map

-The difference in elevation represented by adjacent contours is called CONTOUR INTERVAL.

-Maps are an important for of input to a GIS and a common means to portray the results of analysis from a GIS

-The TWO FUNDAMENTAL ASPECTS OF REALITY that maps and GIS are connected with:
-LOCATIONS and
-ATTRIBUTES
using these, several TOPOLOGICAL and METRIC properties of a relationship can be defined. Eg:
-Distance
-Direction
-Connectivity
-Proximity, etc

SYMBOLOGY:
-Artificial works shown in BLACK
-Water features (streams, swamps and glaciers) shown in BLUE
-Relief shown by contours in BROWN
-Major highways shown in RED
-Areas of woods, orchards, vineyards and scrub shown in GREEN.

-SRS SPATIAL REFERENCING SYSTEM
-GCS GEOGRAPHIC COORDINATE SYSTEM
-RCS RECTANGULAR COORDINATE SYSTEM
-NCS NON-COORDINATE SYSTEM
-SGS SPHERICAL GRID SYSTEM
-CRS COORDINATE REFERENCING SYSTEM

Longitudes = Meridians (Drawn pole to pole)
Longitudes start at GREENWICH (England) also called PRIME MERIDIAN 
(Numbered East to West)
Corresponding meridian on the opposite side of the globe is called: 
INTERNATIONAL DATE LINE
Latitudes lie at RIGHT ANGLES to lines of longitudes and run parallel to each other.
Latitudes = Parallels

Transformation of 3D space to 2D map distorts atleast one of the following:
-SHAPE
-AREA
-DISTANCE or
-DIRECTION

Angular conformity / Conformal / Orthomorphic projections MAINTAIN correct angular correspondence
This leads to:
-Distortion of areas
-Incorrect measurement

Equal area / Equidistant projections PRESERVE AREAS

Equidistant projections PRESERVE DISTANCES

The three projections mentioned above are MUTUALLY EXCLUSIVE

THERE IS NO IDEAL MAP PROJECTION

To transfer the image of the Earth with its irregularities on to a plane surface of a map, THREE factors are involved are:
-GEOID
-ELLIPSOID or ELLIPSOID WITH DATUM
-PROJECTION

The geographical relationships of the Earth in three dimensional form is transferred into two dimensional plane of a map by a process known as "MAP PROJECTION"

-ALL projections developed, fall into one of the following categories:
-CONIC PROJECTION
-CYLINDRICAL PROJECTION and
-PLANAR PROJECTION

-Every flat map MISREPRESENTS the Earth in some way. NO MAP CAN TRULY REPRESENT THE SURFACE OF THE ENTIRE EARTH.

A map or parts of a map can show one or more, but NEVER ALL of the following:
-True shapes
-True direction
-True distance
-True areas

A combination of any two of the above projections forms a hybrid projection

-CONIC PROJECTIONS are suited to map areas having EAST-WEST extent. Ex: USA, Canada, Peoples Republic of China

If a sheet of paper is laid tangentential to a point on the globe and the geographical features of the globe are transferred on it, the projection obtained is called, AZIMUTHAL PROJECTION. In this projection, straight lines intersect the designated center point and parallels appear as concentric circles around the center point.

ADLER has named FIVE BASIC CRITERIA for CLASSIFICATION OF MAP PROJECTIONS.
-Nature of projection surface as defined by geometry
-Contact of projection surface with DATUM surface
-Alignment of projection surface with relation to the datum surface
-Cartographic requirements and
-Mode of generation of DATUM SURFACE and coordinate system

TO MAINTAIN ACCURACY:
-The Earth is a SPHERE for small scale maps and
-The Earth is a SPHEROID for large scale maps

In an ellipsoid or sphere, the latitude and longitude are mentioned in degrees, minutes and seconds of arc.
The plane system of rectangular X and Y coordinates is referred to as EASTING and NORTHING respectively

Commonly used map projections are:
-MERCATOR
-TRANSVERSE MERCATOR
-OBLIQUE MERCATOR
-POLYCONIC PROJECTION
-LAMBERT CONICAL ORTHOMORPHIC PROJECTION
-GRID SYETEMS
-LAMBERT GRID SYSTEM FOR INDIA
-UNIVERSAL TRANSVERSE MERCATOR (UTM) GRID

Wednesday, July 15, 2015

Uses and limitations of paper maps

USES OF MAPS:

  1. Maps have been used since time immemorial for navigation and military purposes.
  2. Maps are used to organise geographic data. 
    1. Ex: Topography, 
    2. Natural resources (thematic maps contain information about a specific theme - geology, soils, roads, ecology, hydrology, etc)
    3. Political (Abstract boundaries for public, private, national and international levels)
    4. Information types - Qualitative (Ex: land use classes) and Quantitative (Ex: depth to bedrock)
    5. Map types - Choropleth (areas of equal area separated by boundaries (landuse)) and isolines (or contours)
LIMITATIONS OF PAPER MAPS:
  1. Maps have to be genaralised to make them readable. Important details may be lost for site specific analysis.
  2. Small scale maps representing large areas must be represented on a large number of map sheets making viewing and analysis difficult
  3. Data retrieval is difficult
  4. Printed maps are ""static
  5. Combining different thematic maps for land suitability or spatial analysis is very difficult
  6. Map updation is a tedious process
  7. New technologies for gathering information are better accommodated in digital systems
  8. Complexity of urban and natural resource problems increases the need for sophisticated analysis techniques.
  9. With the availability of low cost digital computers and greater access to data, the shortcomings of paper maps can be overcome easily using a digital GIS.