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Lecture 2 GIS GeoScience basic. Earth model. Nature surface of earth. Spheroid enveloped by sea level. Spheroid enveloped by mean sea level. Reference ellipsoid. Geographical coordinate P( λ , φ ). projection. Cartesian coordinate system. Coordinate system: plane system.
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Earth model Nature surface of earth Spheroid enveloped by sea level Spheroid enveloped by mean sea level Reference ellipsoid
Geographical coordinate P(λ,φ) projection Cartesian coordinate system Coordinate system: plane system
Coordinate system: Elevation • The distance of point on the surface to mean sea level, is the 3rd dimension of spatial objects. • Absolute elevation and relative elevation • 1985 National Elevation datum: 72.2604.
Map projection: Contents • Why is needed map projection • Essential of map projection • Distortion of map projection • Classes of map projection • How to select map projection • Methods of map projection in China
Map projection: Why and what • Map projection portrays the surface of the earth or a portion of the earth on a flat surface • Measuring distance ,area and direction are not convenience in position by longitude and latitude • Ellipsoid is not a developable surface • Map projection translates the surface of the earth to a flat surface, and measure and analysis on the flat map is easy
Map projection: Concept Earth surface Project surface
Map projection: Distortions • Map projection always causes distortion on distance, direction, scale and area • Distance distortion • Area distortion • Direction distortion Mollweide Projection Mercator Projection
Map projection: Methods Azimuthal projection Project surface Earth surface Conic projection Cylindrical projection
Map projection: Classes Azimuthal Projection Geometry Conic Projection Cylindrical projection Method Non-geometry Map projection Equal area projection Distortion Equal angle projection Arbitrariness projection
Map projection: geometry projection Vertical axes Tilted axes Horizontal axes Azimuthal Cylindrical Conic
Map projection: How to select map projection • Geographical location, shape and range of map field • Scale • Map contents • Published method
Map projection in GIS • GIS displays the geographic information in flat surface • Map projection is a key in GIS data acquisition and presentation • GIS has catalogues of projection listed which can be used to choose the appropriate projection
Map projection: map projection in China • 1:1000K:Lambert projection • Part of province map and majority of maps with a level scale also adopt Lambert projection • 1:500K、1:250K、1:100K、1:50K、1:25K、1:10K、1:5000 adopt Gauss-Kruger projection
Map scale • Portrays the relation of map field to mapping area • Effected map contents, generalize and data accuracy • Scale definition: Scale is the relationship between a distance portrayed on a map and the same distance on the earth Small area: scale is same in each direction Large area: main scale, scale changed with direction
Map scale (cont.) • Scale system in China large scale map: 1:500—1:100K medium scale map:1:100K—1:1000K small scale map: 〈1:1000K • Concept of non-scale • Scale and resolution
Real world Spatial phenomena and expression Map Spatial data Image Selection Abstract Generalization Relation-ship Features Behavior Position Attribute Relationship observing
Type of spatial objects • Spatial objects are classified according to their topological dimension which provides a measure of the way they fill space • Point --- dimension 0 • Line --- dimension 1 • Area--- dimension 2 • Volume--- dimension 3 • Time --- usually considered to be the fourth dimension of spatial objects, although GIS is currently incapable of dealing with it properly • Dimension of spatial objects is related with map scale Cont.
Point • A point object has neither length nor breadth and depth • May be used to indicate spatial occurrences or events and their spatial pattern
Line • A line has length, but not breadth and depth • Used to represent linear entities that are frequently built together into networks • Also used to measure distance between spatial objects
Area • An area object has two dimension, length and breadth, but not depth • Represents area of natural or artificial objects
Volume • A volume object has length, breadth and depth • Used to present e.g. mine bodies and buildings or artificial objects
Description of spatial objects Spatial objects can be described by the following parameters: Code: to describe type of spatial objects and is sole Position: to present the spatial objects in (x, y) or (λ, φ) Type: entities type, such as: point, line, area and volume etc. Behavior: behavior and functions the spatial objects have Attribute: non-geometry information Remark: to describe the data origin, accuracy etc. Relationship: to represent the relationship of the object with other objects
Coding of spatial objects • Attribute • Process: classification grade coding • Classification • Definition: gather spatial objects with same attribute • Principle: scientific, systematic, extensible, practical abilities, compatibility • Method: classification according to line or area
Coding of spatial objects (cont.) • Grade • Definition: classified the objects according to its features or amounts • Principle: • accuracy • visual • distribution • Lessen the number of grade as possible • Method: nature break, equal interval, RMSE ……
Coding of spatial objects (cont.) • Coding: to assign a code to spatial objects • Function: distinguish, classify, sort • Coding principle: sole, rationality, extensive, simplification, application, standardization • Type of code: digital, letter, etc.
Code in GIS • Type of code in GIS • Classification code • Identification code • Method of coding • hierarchy • Multi-characters
Code of spatial objects: hierarchy • Used to represent spatial objects which have hierarchy or hypotaxis • Strictly hypotaxis relationship • Example:
Pipe line electrical wire …… …… Underground electrical wire High-voltage line low-voltage line pole tower frame scale Non-scale Code of spatial objects: hierarchy (cont.)
Multi-characters classification coding of river depth navigation Season length breadth 5 ~ 10 m :1 10 ~ 20 m:2 20 ~ 30 m:3 30 ~ 60 m:4 60 ~ 120 m:5 120 ~300 m:6 300 ~500 m:7 >500m:8 Ever river: 1 Season river: 2 Disappear river:3 < 1 km:1 < 2 km:2 < 5 km:3 < 10 km:4 > 10 km:5 <1 m :1 1 ~ 2 m:2 2 ~ 5 m:3 5 ~ 20 m:4 20 ~ 50 m:5 >50m:6 Navigation: 1 Non-navigation: 2 Multi-characters classification coding • According to characters of spatial objects • No strict hypotaxis • Be helpful to analyze • Example : River
Relationship of spatial objects • Used to describe the inter-relation of objects • Method: • Absolute relation: coordinate, angle, direction, distance • Relatively relation: adjacent, enclosed, conjunction • relatively relation: • Topological relation • Order relation • Measuring relation
Relationship of spatial objects (cont.) • The relationship of spatial objects on the map and image can be directly observed, but not be represented directly in GIS • No standard currently, different GIS software may use different methods to describe relation of objects
Topological relationship of spatial objects • Topological theory • Topological element:point、line、area • topological relationship: • conjunction:relationship of the different topological elements • adjacent:relationship of the same topological element • enclosed:relationship between area and other elements • hierarchy:hierarchical relationship of the same topological element • Euler formula
Advantages and disadvantages of Topological relationship • advantages • Spatial objects can be described by Topological relationship , besides absolute coordinate • Reduce spatial data redundancy • Be easy to overlay • Be helpful to data verification • disadvantages • Complicated in creation • No uniform data structure
How to use topological relationship • Application aims • Mapping or simple query, no topological relationship • Spatial analysis, should build topological relationship • serve aims and GIS data structure • area: area-arc, arc-area • network: point-arc, arc-point
n: number of node a: number of arc b: number of polygon c: constant c + a = n + b n = 4,a = 4 b = 1,c = 1 n = 6,a = 5 b = 2,c = 1 p=2(number of figure) n = 10,a = 12 b = 3,c = 1 n = 4,a = 5 b = 2,c = 1 Euler formula
1 c B A 2 3 e a D b 7 6 C 5 4 d a: number of node A: number of polygon 1: number of arc Digitization direction of arc Relationship of spatial object: relation table
Spatial auto correlation • The first law in Geography • Type: • Positive auto correlation • Random auto correlation • Negative correlation • Used to describe the dependence of spatial objects
Spatial auto correlation: Index Moran I Index: Geary’ c Index:
3 3 1 1 2 1 2 1 2 1 2 3 2 1 2 1 3 1 1 3 2 3 1 3 1 1 2 2 3 2 1 2 2 3 1 3 2 1 2 1 2 1 2 3 3 1 1 3 I = 0.6 C = 0.48 Positive correlation I = -0.15 C = 1.07 Random correlation I = -0.65 C = 1.29 Negative correlation
Characters of spatial data • Attribute • Position • Time
Type of spatial data • Attribute data • Geometry data • Relative data
Map to represent the real world Point position:(x,y) attribute: map symbol Line position: (x1,y1),(x2,y2),…,(xn, yn) attribute: symbol with shape, color, size Area position: (x1,y1),(x2,y2),…,(xi, yi),…,(xn, yn) attribute: symbol, isoline
Remote sensing platform sensor
作业 • 简述地图投影选择的一般原则 • 什么是拓扑关系?在GIS中引入拓扑关系有什么有优点和缺点? • 简述空间数据的自相关特征。 • 简述地图和遥感是如何表达地理对象的。
第二讲结束 谢谢