Cartographic visualisation of Time
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1 Cartographic visualisation of Time prof Menno-Jan Kraak Barend Köbben INTERNATIONAL INSTITUTE FOR GEO-INFORMATION SCIENCE AND EARTH OBSERVATION
2 Contents Changing Cartography from making maps to Spatial data dissemination Time in Cartography Dynamic Visualization Variables Case: Overijssel Municipal changes Adapting to Time & Place Location Based Services Practical application Using MapViewSVG to put Place & Time on the Web ITC Department of GeoInformation Processing Barend Köbben 2
3 Changing Cartography: From making maps to Spatial data dissemination Barend Köbben INTERNATIONAL INSTITUTE FOR GEO-INFORMATION SCIENCE AND EARTH OBSERVATION
4 Overview Why use maps? Changing Cartography Why use the Web? WebCartography ITC Department of GeoInformation Processing Barend Köbben 4
5 Why use graphics? Graphics are international: uitgang, exit, Ausgang, sortie, uscita, salida, etc... = ITC Department of GeoInformation Processing Barend Köbben 5
6 Why use graphics? Graphics are holistic: a picture says more than a thousand words... First road left, then cross the railroad and continue until you cross the river, then the first right and right again on the crossroads... ITC Department of GeoInformation Processing Barend Köbben 6
7 Why use maps? rainfall 12, 13, 14 september dirksland de bilt apeldoorn ITC Department of GeoInformation Processing Barend Köbben 7
8 Why use maps? apeldoorn de bilt dirksland ITC Department of GeoInformation Processing Barend Köbben 8
9 Maps depict spatial data: Where? = location When? = time What? = attribute ITC Department of GeoInformation Processing Barend Köbben 9
10 The Cartographic Communication Process ITC Department of GeoInformation Processing Barend Köbben 10
11 Changing cartography conventio nal digital ITC Department of GeoInformation Processing Barend Köbben 11
12 CHANGING CARTOGRAPHY new kinds of maps Interactive maps Realism & false realism: Virtual worlds Depiction of movement & change: Animated maps Combining maps with other graphics, sound and moving images: Multimedia ITC Department of GeoInformation Processing Barend Köbben 12
13 The Cartographic Communication Process ITC Department of GeoInformation Processing Barend Köbben 13
14 DLM - DCM model from reality to maps ITC Department of GeoInformation Processing Barend Köbben 14
15 DLM - DCM model from reality to maps Digital Landscape Model (DLM): selection from real world stores geometry (points, lines, areas, raster) stores attributes (linked to geometry) Digital Cartographic Model (DCM) visualisation of DLM dependent on scale, purpose, output medium, reader skill, etc.. stores graphic attributes (linetype, colour, etc) ITC Department of GeoInformation Processing Barend Köbben 15
16 DLM - DCM model: example of road network Reality: various roads with different widths, surface, status, etc. geographic modelling DLM: centre lines of roads stored as vectors with attributes such as road class, surface, amount of traffic, etc. visualisation DCM: traffic loads (for WWW) visualisation DCM: topographic map (offset printed) Map: lines with widths proportional to amount of traffic (at 72 dpi, WWW colours) Map: lines with linetypes & colours according to road class (at 1240 dpi, printing colours) ITC Department of GeoInformation Processing Barend Köbben 16
17 CHANGING CARTOGRAPHY new (digital) data dissemination On CD ROM On the World Wide Web ITC Department of GeoInformation Processing Barend Köbben 17
18 Why use the Web? WWW information is virtually platformindependent unrivalled in its capacity to reach many users at minimal costs easy to update frequently the WWW allows for a dynamic and interactive dissemination of spatial data: New map types ITC Department of GeoInformation Processing Barend Köbben 18
19 Disadvantages Potential user group is limited (though growing fast) and skewed (computerliterate and connected people) Difficult to charge for use Fast-moving: Information is time-sensitive Interactivity is a must ITC Department of GeoInformation Processing Barend Köbben 19
20 WebCartography ITC Department of GeoInformation Processing Barend Köbben 20
21 Static maps view only Existing maps (scanned) mainly interesting for Historical maps Specially designed web-maps eg. cartography students at ITC ITC Department of GeoInformation Processing Barend Köbben 21
22 Traditional vs. interactive maps traditional map = view only map bitmaps (scanned images) interactive map (map as interface) clickable map: leads to other (web) information; map as menu; interactive map (user defined contents) maps on demand; user defines contents and/or symbolisation ITC Department of GeoInformation Processing Barend Köbben 22
23 Interactive maps ITC Department of GeoInformation Processing Barend Köbben 23
24 Static maps interactive interface Map is entrance to other (map) information: clickable maps HTML clickable maps (Netherlands in provinces) Flash maps of Overijssel (data, magnify) User can change map content & visualisation: from simple layers on/off map of Overijssel (Flash) to fully interactive Tuerlersee topographic map (SVG) ITC Department of GeoInformation Processing Barend Köbben 24
25 Virtual worlds The world mapped as it is Perspective view (instead of orthogonal) Complete (not generalised) Realistic (not symbolised) Photo realism (or pseudo realism) ITC Department of GeoInformation Processing Barend Köbben 25
26 Virtual Worlds ITC Department of GeoInformation Processing Barend Köbben 26
27 Multimedia definition The combination of various media parts into a coherent whole Media parts: maps, graphics, text, moving images, sound, text, etc... Coherent whole: The whole is more than the sum of the parts ITC Department of GeoInformation Processing Barend Köbben 27
28 WebCartography ITC Department of GeoInformation Processing Barend Köbben 28
29 Animated maps For showing dynamic phenomena As animated maps ( movies ) As dynamic real-time images (dynamic webpages) For moving through Virtual Worlds As animations (eg. animatedgif, Quicktime movies) With interactive contents (modelled worlds, eg. games, VRML) ITC Department of GeoInformation Processing Barend Köbben 29
30 Dynamic web maps For showing dynamic phenomena As animated maps ( movies ) (eg. gondwana) As dynamic real-time images (ANWB) ITC Department of GeoInformation Processing Barend Köbben 30
31 Dynamic web maps For moving through Virtual Worlds As a view-only animation (eg. animated GIF) With an interactive interface ( movie ) (eg. quicktime) With interactive contents (modelled) (eg. games, VRML) ITC Department of GeoInformation Processing Barend Köbben 31
32 ITC Department of GeoInformation Processing Barend Köbben 32
33 Dynamic visualization variables Connie Blok, Barend Köbben INTERNATIONAL INSTITUTE FOR GEO-INFORMATION SCIENCE AND EARTH OBSERVATION
34 Graphic variables Known already: Bertin s 7 graphic (visual) variables position for locational aspects of geospatial data form, orientation, colour, texture, value and size: for the thematic attributes Others have distinguished additional graphic variables for thematic attributes, e.g.: saturation (in addition to hue & value) crispness / resolution transparency ITC Department of GeoInformation Processing Barend Köbben
35 More variables to represent geospatial data Visual variables (can be perceived visually): Graphic variables used in the spatial dimensions of static and dynamic (animated maps) Dynamic visualization variables used in the temporal dimension of dynamic maps: display time Other variables (need other modes of perception) eg. sound, smell, touch? ITC Department of GeoInformation Processing Barend Köbben 35
36 Representation of change Based on graphic variables only: Single static map Multiple static maps (snap shots in time) Based on graphic + dynamic graphic + dynamic visualization variables: Animated (dynamic) map ITC Department of GeoInformation Processing Barend Köbben 36
37 Single static maps Dynamics can suggested by symbols that give an impression of movement or order, like: value, e.g. to show the successive stages of urban growth arrows, e.g. for the paths of wildfires, hurricanes flow lines, e.g. to show troop movements etc Dynamics can also be shown by change / temporal difference maps, e.g.: change in land use between 2 moments in time population growth in a given time period ITC Department of GeoInformation Processing Barend Köbben
38 Single static maps value arrows ITC Department of GeoInformation Processing Barend Köbben 38
39 Single static map:flowlines Napoleon s 1812 Russian campaign Minard s map, 1869 Kraak s space-time cube, 2003 ITC Department of GeoInformation Processing Barend Köbben 39
40 Single static map change map: deforested area in 95 forest in 92, deforested in 95 ITC Department of GeoInformation Processing Barend Köbben 40
41 Multiple static maps Spatial dynamics have to be mentally extracted by the user through map comparison, e.g.: land cover / use 1992 land cover / use 1995 Difficult if: information is complex more than a few maps have to be compared ITC Department of GeoInformation Processing Barend Köbben 41
42 Multiple static maps: 1992 and 1995 land cover/use maps ITC Department of GeoInformation Processing Barend Köbben 42
43 Multiple static maps: growth of Enschede ITC Department of GeoInformation Processing Barend Köbben 43
44 Animated (dynamic) map Quick succession of slightly different images -usually frames showing change in display time the temporal dimension: the time a viewer sees an animation frames interaction controls ITC Department of GeoInformation Processing Barend Köbben
45 Again representation variables in an animation Graphic variables represent characteristics of geodata in the spatial dimensions of the images their appearance may change in successive stages, but the temporal characteristics of the changes can only be viewed in display time Dynamic visualization variables can only be viewed in display time at least one graphic variable (position) is required to be able to see a dynamic variable, e.g. the frequency of a blinking point symbol; the order of locations hit by a hurricane ITC Department of GeoInformation Processing Barend Köbben 45
46 Questions that can be asked to an animation of geodata when? in what order? how long? how fast? how often? states (periods not affected by change) Those questions are difficult to answer with static maps! ITC Department of GeoInformation Processing Barend Köbben 46
47 Dynamic visualization variables DiBiase et al. (1992)& MacEachren (1995): 6 variables Blok (2005): 4 variables, the other 2 are effects Moment of display (display date) Order Duration Frequency Rate of change Synchronization ITC Department of GeoInformation Processing Barend Köbben 47
48 Relationships between the dynamic visualization variables (Blok, 2005) ITC Department of GeoInformation Processing Barend Köbben 48
49 Moment of display (or display date) Position of a change / state in the representation in display time Moments of display that are marked by y a change enable the perception of other dynamic visualization variables T 1 T=1837 T n T=1838 T=1839 T=1840 T=1841 I II III IV V display date marked moment of display ITC Department of GeoInformation Processing Barend Köbben
50 Moment of display ITC building : in every frame there are changes; these are marked moments of display ITC Department of GeoInformation Processing Barend Köbben 50
51 Order Structured sequence of states / changes in the representation in display time T1=1600 T2=1700 T3=1800 T4=1900 T5=2000 order here, chronological order is applied, e.g.: 1600, 1700, 1800, 1900, 2000 February, March, April, ITC Department of GeoInformation Processing Barend Köbben
52 Duration Length in display time of a change/state in the representation 1 unit of time T=76-80 T=80-84 T=84-88 T=88-92 T=92-96 duration 3 units of time ITC Department of GeoInformation Processing Barend Köbben
53 Frequency Repetition or the number of identical states /changes in the representation per unit of display time every 10 minutes T= T= T= T= T= high low frequency every 30 minutes ITC Department of GeoInformation Processing Barend Köbben
54 Rate of change variable or effect? The magnitude of change per unit of display time Effect, influenced: not only of animation design decisions, underlying data also of any interaction with (the dyn. vis. variables in) the animation T1=12.00 T1=15.00 T1=12.00 T1=15.00 rate of change slow ITC Department of GeoInformation Processing Barend Köbben quick
55 Rate of change Population growth ITC Department of GeoInformation Processing Barend Köbben 55
56 Synchronisation (phase correspondence) Refers to the possibility to run several temporal animations simultaneously and manipulate ( tune( tune ) their starting points in display time to discover similarities in patterns T = 3 months T1 T2 T3 T4 rain vegetation (f) synchronization ITC Department of GeoInformation Processing Barend Köbben
57 Synchronization (effect of tuning) Tuning is interacting with moment of display in two animations to synchronize the animations The tuning mode in animvis enables synchronization ITC Department of GeoInformation Processing Barend Köbben 57
58 Application of the variables The dynamic vis. variables can be used to represent: the temporal component of geodata: this results in temporal animations, in which e.g. moment, order, duration and frequency of changes /states in reality are mimicked. non-temporal aspects of geodata: this results in non-temporal animations, in which the dynamic variables are used for the sequential representation of: other data components (location/them. attributes) different graphic representations/views of the data ITC Department of GeoInformation Processing Barend Köbben 58
59 Example: temporal animation ITC Department of GeoInformation Processing Barend Köbben 59
60 Examples of non-temporal animation: fly-by ITC Department of GeoInformation Processing Barend Köbben 60
61 Examples of use of dyn. variables in non-temporal animations Suppose: variables are linked to attributes: Moment of display: a complex map builds-up gradually (thematic objects are gradually added) Order: data are represented in class order, e.g. from the lowest to the highest class Duration: extreme attributes values are displayed longer than normal values Frequency: can be used to let a symbol blink (e.g. to attract attention) ITC Department of GeoInformation Processing Barend Köbben 61
62 CASE: Overijssel population through time Menno-Jan Kraak INTERNATIONAL INSTITUTE FOR GEO-INFORMATION SCIENCE AND EARTH OBSERVATION
63 visualize overijssel's past interactive animation's on the www the problem the data options solutions conclusion ITC Department of GeoInformation Processing Barend Köbben 63
64 the problem to visualize the changes in municipal population in the province of overijssel during the last 200 years conditions identify municipality and number of inhabitants at any time (interactive and dynamic display) medium: the www ITC Department of GeoInformation Processing Barend Köbben 64
65 what is changing? municipal boundaries population numbers time municipal boundaries: population numbers: now and then time every year ITC Department of GeoInformation Processing Barend Köbben 65
66 data sources boundaries (old) maps publications population census publications geographic dictionaries archives - libraries www ITC Department of GeoInformation Processing Barend Köbben 66
67 from relevant publications ITC Department of GeoInformation Processing Barend Köbben 67
68 non-map publications ITC Department of GeoInformation Processing Barend Köbben 68
69 census ITC Department of GeoInformation Processing Barend Köbben 69
70 nature of the changes merge split annex changes are registered when: area involved is larger then 5km 2, area involved is smaller then 5km 2, but more than 500 inhabitants are involved cumulative effects ITC Department of GeoInformation Processing Barend Köbben 70
71 what has been collected? sample years with changes ITC Department of GeoInformation Processing Barend Köbben 71
72 what has been collected? ITC Department of GeoInformation Processing Barend Köbben 72
73 enschede annexactie full annexation Lonnerker lonneker small uitbreiding annexation tkv from Lonneker lonneker 1885 error ITC Department of GeoInformation Processing Barend Köbben 73
74 blokzijl departure of fishermen population due to new polder annexation ITC Department of GeoInformation Processing Barend Köbben 74
75 mapping options (single moment in time) proportional point symbol cartogram prism ITC Department of GeoInformation Processing Barend Köbben 75
76 mapping options (multiple moments in time) small multiples animation ITC Department of GeoInformation Processing Barend Köbben 76
77 smallest units a d b h c i f g e x z c 2. create lookup table which holds for each unit, per year, the municipality it belonged to overlay of all municipal divisions between 1811 and 2001 resulting in set of smallest units g g x x 8 i i x x 9 f f z z ITC Department of GeoInformation Processing Barend Köbben 77 a b c d h h g g g e a b c d h h g g g e x x c x c x z z z z x x c x c x z z z z
78 resulting geographic units ITC Department of GeoInformation Processing Barend Köbben 78
79 ITC Department of GeoInformation Processing Barend Köbben 79 z z g g 1 2 z z e e 1 3 z z g g 1 1 z z g g 1 0 z z f f 9 x x i i 8 x x g g 7 x x h h 6 c c h h 5 x x d d 4 c c c c 3 x x b b 2 x x a a z x i h g f e d c b a attributes population data geometry smallest units create final table population per year per smallest unit preparing the data
80 resulting user interfaces prism map in 3d web environment - VRML Animation ITC Department of GeoInformation Processing Barend Köbben 80
81 considerations depending on nature of data sets the view can be chaotic need for options to emphasize changes in geo-units, attributes or time only or a selection of one of those ITC Department of GeoInformation Processing Barend Köbben 81
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