Kartographie
Kartentheorie
Kartentheorie
Kartei Details
Karten | 42 |
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Sprache | English |
Kategorie | Geographie |
Stufe | Universität |
Erstellt / Aktualisiert | 23.12.2013 / 02.06.2017 |
Weblink |
https://card2brain.ch/box/kartographie
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Einbinden |
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Derived Data
Average, ratios, indexes, deviations (Abweichungen), regressions (Rückgang)
- easier to handle when searching for patterns
Data Quality
- check documentation (metadata)
- accuracy and precision?
- Age
- What sort of Modifications where made?
Mapmaking
Production of touchable or untouchable maps
Cartography - What
- Learning how to design and produce maps which effectively communicate what is known
Cartography - productions
- maps
- plans
- charts and sections
- three- dimensional models and globes representing the Earth or any other celestial body at any scale
Geovisualization
- the use of graphics to facilitate thinking, problem solving and decision making (GIS)
- means in the process of understaning rather than the communication of what is finally understood (GIS)
Content
- presenting what is known (cartography)
- Revealing unknowns (insights) (geovisualization)
Interaction
- Low (cartography)
- High (geovisualization)
Audience
- public (cartography)
- Private (personal) realm (geovisualization)
Map elements
- Symbols (Signaturen)
- Labels
- Orientation
- Perspective (Abildungsart)
- Scale bar
- Titles
- Notes (Kartenrandangaben)
- Inset/ locator map
- Legend
- Graticule (Kartennetz)
- Author/ cartographer
- Data Sources
- Dates
Topographic Map Types
- Reference Map
- Thematic Map
- Navigational Charts
- storage of spatial information - General purpose: dictionary of features - Includes geographic features (land, water, landmarks) - Gives an answer to spatial questions (Where?, What?, When?) - E.g.: atlas, globes (road maps, satellite image maps)
Reference Map
- storage of spatial information
- General purpose: dictionary of features
- Includes geographic features (land, water, landmarks)
- Gives an answer to spatial questions (Where?, What?, When?)
- E.g.: atlas, globes (road maps, satellite image maps)
Thematic Map
- tells a story
- Qualitative information: distribution maps (What, when, where?, Category membership; illustrate spatial patterns)
- Quantitative information: statistical maps (What, when, where, how much?, Category membership, sequence, ranks, magnitude; illustrate and quantify spatial patterns)
- e.g.: statistical maps, graphs, diagrams (weather maps, satellite image maps)
Navigational Charts
- Help to guide movement in space: Where, How far, How to get there?
- Aid in decision- maing, guide spatial behaviour
- distinguish between maps FOR and maps OF navigation
- e.g.: digital way- finder, GPS, aero/ hydronautical charts (weather maps, road maps)
Collection Techniques
- Direct environmental perception (mental maps): limited in its usefulness for making cartographic maps
- Data from systematic methods
- Cartography and Geovisualisation Data: ground surveys, census, remote sensing, compoled data (inexpensive because its collected)
Common data acquisition methods
- terrestrial (land) surveying
- photogrammetric recording (tterrestrial and aerial)
- laser scanning (terrestrial and aerial)
- satellite remote sensing
- enquiries and statistics
- paper maps
- census data
Geoid
Shape of the Earth
- "if the sea covered the earth"
- surface of equal gravitational potential
Pro GS (Ground Survey)
High data quality
Con GS (Ground Survey)
data collection is tedious and can take a long time & money
Data integrity
data comes from different sources, formats (vector, rasters), scales, resolutions, sensors, time spans, processing methods...
Geographic featuers
-point- like
-line- like
-area- like
- volumes
Data models
representations, abstraction of reality, field based, entity based
Data structure
storage of spatial models in computer (raster, vector, objects)
Raster
-natural/ environmental phenomena
- points: one pixel
- lines: a sequence of pixels
- areas: contiguous group of pixels
Advantages Raster
Fast, simple, easy analysis, constant improvements of technology, easy display
Disadvantages Raster
high volume of data, redundancy of data, hard to represent small objects, limited to resolution, less adequate to represent human- made features
Vector
- Points: coordinate pair
- Lines: a sequence of pixels connected by vectors
- areas: points and vectors with a closure to form an area (polygon)
Advantages Vector
Extremely fne resolution, small or large format, compact and efficient, reduced redundancy, topology (GIS), vector data looks better for detailed features
Disadvantages Vector
cumbersome iin data capturing stage, complex for analysis, computing data is intensive, display can be expensive (high resolution)
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