5. The Research Agenda
5.1 The Process
Following the plenary sessions during which reviews of papers
were presented, the questions put forth by the discussants and the
audience were placed into the following nine categories:
- language and linguistic issues;
- communication and cartographic issues;
- cultural aspects with respect to spatio-temporal
reasoning;
- micro-macro issues;
- propositional representations vs. image schemas;
- primitives (location, time, or motion);
- topological and metric spatial knowledge;
- temporal taxonomies; and
- implementation issues for temporal GISs.
Based on these categories, the participants of the workshop broke
into working groups comprised of 6 to 7 members. Working groups,
using as the basis of their deliberations the categorized
questions, identified specific research questions and tasks at the
granularity of a Ph.D. or Master's thesis. A representative of each
working group then reported in a plenary session the group's
findings. These findings were discussed and modified via
suggestions by all participants of the meeting.
At a later stage, the researchable questions and tasks that were
formulated by the working groups were placed into the following
framework:
- questions and tasks related to studies of language structure,
culture-specific principles, and human cognitive representation and
behavior;
- questions and tasks related to formal logical systems; and
- questions and tasks that bridge human and formal systems.
This list of researchable questions and tasks was subsequently
distributed to the participants of the Specialist Meeting who were
asked to (1) comment on the completeness and representatives of
this list, and to (2) rank the questions in terms of relative
importance (most important to least important). This was not to
suggest that some of the questions raised at the workshop were not
important, but rather to identify which questions should be
addressed first in terms of a research agenda. The workshop
participants were told that the purpose of this ranking process was
to determine a research agenda for the NCGIA, for the participants
of the Specialist Meeting, and for researchers interested in
spatio-temporal issues in GIS. The remainder of this section
describes researchable topics and key questions under each of these
areas. Note that the questions under each topic are listed in rank
order as identified by participants in the Specialist Meeting.
5.2 Language, Culture, and Human Cognitive Representation and
Behavior
The overall objective in this area is to get a better
understanding of how people deal with geographic space and
time. It relates to the discussions in the sessions on Reasoning
and Philosophy, the Social Science Perspective, and Spatio-Temporal
Cognition, where the following questions and research tasks were
identified:
- Does behavior change space, or does space change behavior? How
does one influence the other?
- Is there a link between the type of process to be studied and
the scale or study area used to study it (including resolution or
granularity in both space and time)?
- What studies of long term changes in knowledge about the
environment would be useful?
- Can people build survey knowledge from just living in an
environment (i.e., can one develop a configurational mental map
from just direct experience)?
- What spatial terms (or language) should be used for interaction
between the user and a GIS (including written and graphical/iconic
languages)?
- Can we substitute space for time as a research
methodology?
- What is the difference between social time in addition to
administrative and scientific time, and how do they interact?
- Explore the persistence of identity of geographical
entity.
- Explore the evolution of models and types (change in
definition).
Of particular interest were questions on linguistic and cultural
issues, on which two working groups focused their attention, and
the distinction between propositional and image representation. A
fourth working group theme, closely related to cognitive
representation and behavior, was topological vs. metric spatial
knowledge. Since it had more overlap with the category on formal
systems, details will be provided in Section 5.3.
5.2.1 Language and Linguistic Issues
Language is used to describe time, space, and sometimes both
together. In natural language, however, there seems to be an
asymmetry between time and space. Space seems more important than
time--spatial concepts are acquired sooner than temporal concepts
in children (and apes). There are more terms to describe spatial
relationships than temporal relationships. Time is ephemeral and
private; you cannot revisit events.
What kinds of models of the world does language yield? The
temporal model that our language provides is very strange. Most
languages do not allow you to assign a temporal name to a spatial
object. Language gives you wonderful economy in describing space.
The ambiguity is often considered a disadvantage, but is it? There
is a default meaning that we apply based on context. Language
allows ambiguity. Is the ambiguity helpful or is it a negative?
Verbal instructions will probably become more important in GIS.
"Take the next exit" works better than looking at a map in a
Vehicle Navigation System. What element of the instructions are
spatial vs. temporal? Language can more precisely capture
uncertainty than graphics. What kind of spatial-temporal phenomena
are better understood/utilized via language (e.g., driving
directions) and what kinds are better understood/utilized via
graphics (e.g., maps).
There are differences in the representational power of language.
In giving directions you can choose how specific to be. There is
flexibility to jump to any scale as required. In a temporal GIS,
granularity should change as required. If there is no change, then
the temporal scale has the flexibility to get coarser.
Three approaches can be employed to explore language issues: (1)
one could study language by looking at forms of knowledge that are
relatively linguistic--implication is that language is a window to
cognition; (2) one could also conduct experiments to access
cognitive processes that cannot be observed directly through
language; and (3) one could also employ both of the above
approaches (i.e., experiments on language).
Several questions were raised about what would be interesting
findings about language for space and time:
- Can one explore the structure of narrative to discover
parallels with space and time structures? Narrative (i.e.,
language) has the characteristic of being topological.
- Can we extend this notion and develop a qualitative GIS, and
for what purposes would this be useful? What kind of temporal
models of the world does language allow?
- What kind of spatial models can one build from narrative?
- Language about space seems to be more qualitative than
quantitative. One can get a metric representation from qualitative
descriptions. Can we develop a qualitative GIS system?
- What would the consistency of a qualitative GIS be as compared
to a quantitative GIS?
5.2.2 Cultural Aspects with Respect to Spatio-Temporal
Reasoning
Culture is an issue for GIS and temporal GIS, because GISs have
for the most part, been developed from a mono-language community.
What kind of influence does culture have on understanding and
representing time? Different cultures manage time differently. This
may be a good way to approach the problem of working with a
cross-cultural space-time GIS. There are three different temporal
scales which evolve: (1) the evolution of humans, (2) the
individual, and (3) the culture that individuals are members of.
The cultural aspects of time are built on all three scales. One is
the biological makeup of our bodies which makes us share
fundamental approaches to time. Life itself is a process. The
heartbeat is the basic clock. In terms of the individual scale, our
time of birth is exactly recorded. In between these two there is
the effect of culture on our conception of time. First, is the
comparative view of time. The multi-cultural view is relevant in
this country. If we have an agency with varying people, how does
that affect GIS. Then there is the historical concept of time.
Also, there are the varying subcultures within a nation (social and
economic influences).
People perceive their landscape by taking the physical landscape
and warping it to the perceived (cultural) landscape. Land
ownership is a good example of an application in GIS which has a
necessary temporal component. Are there places where the decisions
a society makes is actually different. In the U.S. there exists the
Hopi Indian land dispute which is based on historical land
ownership. One proposed solution is to buy some land and give it to
the Hopi or Navajo. There are different conceptions of
land-ownership, which often boil down to a political situation. In
Latvia, they are trying to recreate old geographies to get back to
the old land ownership rules. An interesting study would be to
stand back and look at these cultural-problems and how they evolve
over time. Would cross-cultural studies of databases or
data-collections be fruitful in understanding how different
cultures deal with time?
One needs a temporal GIS, because people are not working in the
current time. One can simultaneously have separate cultural views
of the same space. Some of the GIS cultural problems are interface
problems. In Britain, some corporate cultures are changing GIS to
fit their corporate culture. To what extent is a GIS obligated to
conform to a given subculture? Can we identify a research question
that will allow us to see how GIS affects a culture?
5.2.3 Propositional vs. Image Representation
A smallgroup discussion on propositional vs. image schemas
pointed out that the difficulty to define them and to distinguish
between them. A propositional schema seems to be something with a
truth value, whereas image representations use space, particularly
distance, direction, and orientation, in meaningful ways. This
dichotomy does not do justice to the richness of possible
representations and to making hybrid nature of many of them. What
has been called imagery, for example, may include visual, spatial,
and kinesthetic/motor imagery, all of which are separable.
The group concluded that are three types of representations: (1)
those in the mind (supposedly), (2) those in computer programs, and
(3) those in the world, i.e., on paper or on a computer screen or a
physical model. It is difficult to talk about representations
without talking about the processes performed on them.
5.2.4 Researchable Questions
Spatial cognitive representations
- How do people model spatial knowledge/behavior as well as
temporal knowledge /behavior? What are the various models we should
consider?
- What kind of spatio-temporal phenomena are better
understood/utilized via language (e.g., driving directions) and
what kinds are better understood/utilized via graphics (e.g.,
maps)?
- How do/should individual differences in spatial ability impact
the mode of communication--low spatial ability subjects perform
better with text, high spatial ability subjects perform better with
graphics?
- What are the components of a temporal taxonomy?
- How do humans preserve metric knowledge over time?
- What qualitative spatio-temporal cognitive models should be
tested, and how?
- Which spatio-temporal inferences are easier for people?
- How do people resolve incomplete or insufficient spatial and
temporal knowledge?
- Does structuring time structure space? Does space structure
time? Is this domain-specific?
Influence of the task environment on spatio-temporal cognitive
representations
- How do people update conceptions of environments as they
change? As the environment changes?
- What are the space/time categories/scales relevant to human
activity?
- How do people plan and alter routes?
- How do we read and interpret maps and other visual
displays?
- What kind of spatial models can one build from narrative (e.g.,
linear vs. two dimensional)?
- For which spatial situations (tasks, environments, etc.) is it
more meaningful to think of space in terms of temporal
units, and which situations is it more meaningful to think in
spatial units?
- What factors distort space-time judgments ?
- How do we distinguish the roles of different types of imagery
(visual/spatial/acoustic/kinesthetic) in conceptions of space and
time? Does the lack of one sensory system, such as vision,
matter?
Communication about space and time, and the influence of
culture
- How do people talk about space and time?
- How do people describe change in their environments?
- In developing temporal primitives and operators, we are
examining linguistics and social constructs. Should we look at
different social scales to determine the primitives or should we
consider operators at different scales?
- How do people (cross-culturally) talk about space and
time?
5.3 Formal Systems
The need for formal systems for spatio-temporal reasoning comes
from the desire to build GISs that can be used to perform
spatio-temporal reasoning tasks. Formalisms are also useful in
comparing different models. Questions and tasks for this category
were supplied by the discussions in sessions on Computational
Issues, Spatial and Temporal Cognition, and the GIS perspectives.
They included:
- Data models for time include a variety of models: discrete vs.
continuous models; linear, cyclic, near cyclic (Lorentz attractors)
models; determinate vs. indeterminate (order) vs. cumulative
models; system vs. administrative vs. scientific models; non-linear
time models including alternate future (past) and
multipath-temporal lattices.
- Process models include event detection vs. continuous chance
models; causation models such as change propagation and models
based on spatial-temporal statistics; complex system models such as
multi-scale multi-process interaction and quantitative/qualitative
analysis.
- What are spatio-temporal operations and relations of interest?
How can these be determined and defined? Are they application- or
domain-specific? How do we ensure then that a case study is indeed
useful and proves a point?
- Space, location, time, and motion: which do we specify or leave
out? Which is the most basic or fundamental notion (e.g., motion
vs. time)?
- Is it because spatio-temporal dimensions impose special
constraints that there can be no general computational model such
as the relational model for traditional data processing tasks?
- The semantics, context, and structure of legacy data can be
captured by metadata about it. How do we construct this metadata
uniformly across applications?
- There is a need for further research on temporal topology and
one should develop data models and data structures for topological
maps and their change. Is there a difference in using a fixed frame
vs. a relative frame in our temporal model? Can a taxonomy of time
be built?
- How do we confirm that any formalism developed does indeed
capture the intended spatio-temporal concepts?
- Spatio-temporal query and analysis includes modeling languages;
spatial query and temporal query languages and the modeling of
spatial as well as temporal relationships; temporal topology, time
series analyses (i.e., digital signals); and causation models
(relative vs. real) including propagation through time and space,
and temporal statistics (e.g., one throw probability). we should
explore change detection from snapshots and error improvement. How
can we characterize (represent) phase change and continuous
change?
- Implementation includes database and collection issues, such as
cost and size of data sets; their availability or access to data;
storage models such as versioning vs. variable attributes and
spatial and temporal indexes; lack of continuous data due to
inadequacy of snapshots (i.e., static maps) and error vs. change
(real change vs. taxonomic change); feature identity through time
universal identifier systems including inadequacy of value based
keys and schema evolution. It is important to understand that how
things work internally, i.e., in a database management system, has
nothing to do with cognition. It is the communication channel (the
interface) that introduces the human component.
- What is the effect of scale on time mapping? How do we choose
the temporal scale?
- An issue that crossed the boundaries between human perception
and formal models were alternative formal models of spatial
cognition. The field of spatial cognition has been constrained by
the tricotomy of landmark, route, and survey knowledge. We tend to
allow this framework to dominate the literature--written
descriptions of environments tend to follow either route or survey
(or a combination of these) perspectives, but no others. Some
alternate models that we might consider are:
- local metric neighborhoods;
- strip maps (are they the same as route maps?);
- categorical information;
- hierarchical information;
- temporal sequences; and
- propositional representations.
Participants spent more time on identifying specific issues in
the areas of categorizations of time (temporal taxonomies) and what
primitives are; the difference between topological and metric
knowledge; the linkage among different scales (micro-macro issues);
and concerns about the implementation of temporal GISs.
5.3.1 Temporal Taxonomies
A number of models exist for representing time. The following is
a list of models that could be explored (individually or in
comparative studies) for implementation in a temporal GIS: (1)
mechanical time, (2) event-driven time, (3) absolute time, (4)
discrete vs. continuous time, (5) relative time, (6) direct
determination/measurement, (7) indirect determination/measurement,
(8) work-flow or process time, (9) partial orderings and (10) fully
ordered. Processes operate in the world and are embedded in time.
Elements of a taxonomy of time can be continuous or discrete, as
are processes. Cycles are a property of processes, not time--we can
derive time through measurements. Processes can be observed and
measured. Observation can be direct or indirect. There are a number
of ways to represent time. We can use interval methods, such as
calendars and clocks which are absolute, or we can use ordinal
methods which are relative. We can also represent time with cyclic
representations--the storage of repetition of information or by
propositional information.
Examples of temporal topologies included linear complete
ordering, branch (forward and backward) versioning, dendritic as an
example, braided (lattice) partial ordering, and cyclic or
quasi-cyclic (a la Lorentz attractors). Problems arise when
defining the granularity of measurement, determining connections
between time and measurement, dealing with imprecise relative dates
and indirect dates, and attempting to discretize space, time, and
attributes--Sinton's model (1978) suggest that, "you cannot measure
all three."
Several research tasks and researchable questions related to
temporal taxonomy are:
- Characterize the correlation between database time and world
time. Compare different applications. For example, legal vs.
environmental change, implication for representation, implications
in terms of outcomes.
- Examine the fragmentation (segmentation) expected from temporal
database.
- Investigate human brain (particularly representation of change
and association) as a potential model for indexing or organizing
spatio-temporal data.
- What are methods for representing error and imprecision as
distinct from change. Is detected difference change or error?
Granularity, scale, precision are important issues here.
- Explore associatively problems such as links to indexing and
access, hierarchical retrieval and query, and backwards vs.
forwards.
5.3.2 Primitives (location, time, motion)
These discussions were motivated by the question of whether or
not space and time are separate categories. Can we substitute space
for time as Kant did? In some models, we can substitute space and
time to answer different questions. An example is the use of graph
theory to answer questions about connectivity (topology) and order
(as in a pert chart). But, plausible interpretations of 2-d maps
(such as a fertility time-slice) led to the rejection of these
inferential techniques until the addition of the time dimension.
Therefore, in these instances, time and space cannot be separated
as has been done historically in geographic thought.
More detailed research tasks and questions about space, time,
and motion were formulated:
- Time and space are a set of dimensions, therefore, can we
formulate a model to determine how many dimensions are needed for a
GIS query? In other words, are there natural social processes that
do not involve time? Population can be answered with 1 dimension,
population distribution can be answered in 2 dimensions, and rate
of population growth requires 3 dimensions.
- Which combinations of location, time, and motion should be
used? Is it domain-specific? Motion is a function of location and
time. Rate can be a function of time and/or space. What is the
advantage of using one combination vs. another? For which
applications are one or the other advantageous? Compare
computational effort and storage cost, and consider the nature of
the data.
- What is a plausible taxonomy of time? Can we categorize
measurements about time as nominal, ordinal or interval/ratio
information? Cyclical time does not exist, but rather cyclical
phenomena in linear time. In a binary is/is not situation, there
can be nominal categories. Likewise we may know that there are, for
example, 5 events that must have happened and could not all have
happened at the same time. They may or may not happen again,
therefore, they are nominal until they can be ordered.
- What are typical queries in a spatial-temporal system
(including potential queries)? Queries are application- or
domain-specific. Can we classify temporal queries by difficulty or
type? Specific domains could be researched, if we know the types of
information users need or want.
- What is the link between process, and scale and granularity?
Given a scale and granularity, what can you observe?
5.3.3 Topological and Metric Spatial Knowledge
There is a need to define what we mean by topological, metric,
configurational, qualitative and quantitative metrics when
discussing spatial knowledge types. This need arises because of the
diverse academic backgrounds of researchers involved in this area
of inquiry (geography, psychology, mathematics, computer science,
cognitive science). In this group, it was discovered that different
disciplines define similar terms using various terminology. There
was confusion as to what was meant by terms such as
qualitative and quantitative metric. One of the tasks
of this group was to formulate common definitions.
Alternative geometries formally defined by mathematicians as
determined by what spatial properties remain invariant under
transformations of one type or another. Some disciplines use the
term geometry to refer only to metrics--this discussion
group generally agreed that all of the spatial knowledge types
listed above constitute geometries. There were several
questions/issues raised concerning these geometries:
- Metric as quantitative--properties of interval or ratio
scale--ordinality?
- Distance is clearer than direction--greater uncertainty about
what constitutes metric vs. topological direction.
- Are certain frames-of-reference necessary--e.g., cardinal frame
for directions?
In terms of how humans reason spatially, there were a number of
issues raised by this group:
- the dichotomy of how people can reason vs. how they typically
do reason;
- the apparent evolutionary adaptiveness of metric
knowledge;
- creative navigation (detours, shortcuts), path planning, and
path choice;
- path completion (integration) requires metric knowledge:
- walking two or more legs of a path, estimating straight-line
direction to start;
- humans can do this non-randomly, as has frequently been
empirically demonstrated, but exactly how precisely?
- interesting hypothesis that there is a decay in memorial
precision of spatial knowledge with extended delays (months, years,
decades).
Another area of discussion concerned the explanation of qualitative
metrics and its existence:
- concept from the qualitative reasoning branch of AI formal
modeling;
- qualitative metric as small, finite number of quantitative
categories
(e.g., 4 directional categories, 3 distance categories); and
- need to empirically evaluate with human data.
5.3.4 Micro-Macro Issues
Do processes have natural/characteristic spatial and temporal
scales? To answer this question, studies that examine data at
different granularities (i.e., scales) in space, in time, and in
space and time are needed. This would require a fairly detailed
database, in addition to problem definition and guidance on the
gathering of the data. Examples of some research topics include
examining various physical models (such as hydrologic surficial
flow or forest fire) using different resolutions of digital
elevation models, examining social questions in a like manner using
data sets (perhaps census at a fine resolution and at an aggregated
level)--perhaps focusing on housing the market as an example, and
examining epidemiological or unemployment data as a process.
Are spatial and temporal scales logically linked? Some links
between spatial and temporal scales are clear. For example, daily
commuting is associated with maximum length of work trips and that
limits extent of urban size. Structuring time structures space. Do
processes examined at one scale correlate or describe processes at
another scale? Can we use aggregation techniques that will address
this issue? What are their rules? Examples of some research topics
are to examine biodiversity at a patch or landscape scale.
Particular research tasks are to develop aggregation rules and
determine if they hold over a variety of scales; examine
biodiversity as a dynamic process rather than a collection of
species at one time; examine a process at a very cartographically
large scale (carbon sequestration) and determine if a smaller
cartographic scale will result in a different temporal evolution or
if the process can be represented at all; and translate time series
methods to spatial temporal series.
Participants of this working group formulated further questions
that should be investigated:
- How does the issue of complexity affect spatio-temporal
relations? What are the generalization issues? Can we summarize
time distribution in terms of recurrent intervals? One could study
the same process at different spatial and temporal scales. Should
different time and space scales be used based on the density of
data? In terms of event time and space vs. absolute time and space,
what is the appropriate time step?
- Macro vs. micro issues are probably application-dependent. What
are the time scales relevant to human activity? To explore how
different scales are used in GIS, develop a set of GIS macros to
aggregate (or change scale). Test the results against
processes.
- In developing temporal primitives and operators we are
examining linguistics, and social constructs. Should we look at
different social scales to determine the primitives or operators at
different scales? One could relate different concepts in
linguistics to some overall social constructs to determine if there
are different scale relations.
- Identify what questions can be asked at different scales. Do we
construct geographies of regions from geographies of local places?
Do we develop social constructs from individual constructs?
- Can we infer a process from observing different states?
Determine the rules of a game, chess for instance, by seeing the
board every five moves with a resolution of four squares. We try to
do this on the earth with remote sensing. Can we infer the cause of
land use change by observing maps of the land over the last two
hundred years? What ancillary data will we need and at what
granularity?
- Many problems have similar themes in space and time. They are
addressed differently by different disciplines. However,
geographers and historians use a similar method of aggregation,
neither of which relies completely on absolute space or time.
Historians aggregate time into epochs and geographers aggregate
space into regions. Both of these are process or feature depended.
How do we aggregate such things as birth of features or
bifurcation?
- Temporal identity may differ between different objects. As an
analogy, people retain the same identity form birth to death in
spite of the fact that their cells and concepts may change and
grow. Political organizations retain the same identity even though
their members and objectives may change. Is this the same kind of
identity as for individuals?
- Other issues to be considered include overlapping vs. disjoint
sets; distinct vs. non-distinct boundaries--i.e., fuzzy time;
motion in space vs. change in time.
5.3.5 Implementation Issues for Temporal GIS
Numerous critical implementation issues must be considered in
the development of a temporal GIS. A number of questions were
raised that were considered either computer engineering issues or
computer science issues.
Computer Engineering Questions: An important first step
in developing a temporal GIS is to create a taxonomy of
spatio-temporal information systems. Such a taxonomy should be
based on current and proposed data models, temporal utility,
indexing models, and query facilities. Indexing methods need to be
developed for spatio-temporal behavior, features, events and
processes. Transfer formats for temporal spatial data (an
interlingua) also need to be developed. Efficiency and
implementation issues concerning existing formal spatio-temporal
models include data representation, spatial indices and query
optimization. Need to exploit cognitive science research in
representation of spatio-temporal data.
Computer Science Questions: These include the development
and implementation of spatio-temporal query algebras, computational
formalisms for temporal topology, and parallel computing algorithms
for spatio-temporal data.
5.3.6 Researchable Questions
System design and development
- What might the components of a Temporal Query Builder for a GIS
be? For example, ways of establishing temporal intervals, defining
the dynamics of dimensions, and defining temporal metrics.
- Develop spatio-temporal query algebras.
- Develop a taxonomy of spatio-temporal information systems.
- Develop computational formalism for temporal topology.
Error, imprecision, and uncertainty in spatio-temporal
data
- In terms of data capture and display, how can we deal with
error, uncertainty, imprecision?
- How are error and imprecision represented and understood as
being different from change? Is detected difference indicate
change, or error? (issues of granularity, scale, and
precision).
- Examine the fragmentation (segmentation) expected from temporal
database.
- What are the generalization issues regarding error and
imprecision?
Implementation of spatio-temporal GISs
- In a broad sense, what are the implementation issues that must
be addressed concerning software and hardware?
- What spatial and temporal summary statistics are needed? For
example, can spatial and temporal autocorrelation be combined?
- Develop transfer formats for spatio-temporal data (an
interlingua).
- What are the efficiency and implementation issues concerning
existing formal spatio-temporal models.
- Develop parallel computing algorithms for spatio-temporal
data.
- Should different time and space scales be used based on the
density of data?
Domain-specific aspects of formal systems for spatio-temporal
reasoning
- Characterize the correlation between database time and world
time, and compare different applications. For example, legal vs.
environmental change, implication for representation, implications
in terms of outcomes.
- Investigate different kinds of time series applications and
develop a time series taxonomy for applications. In addition,
evaluate the display techniques for time series analysis. For
example, animation vs. static displays (such as dimension
shifts).
- Examine social questions in a similar manner using existing
data sets (perhaps census data at a fine resolution and at an
aggregated level). Another example would be to focus on the housing
market.
- Can we infer the cause of land use change by observing maps of
the land over the last two hundred years? What ancillary data would
be needed, at what granularity?
Modeling processes of natural systems in a temporal
GIS
- Do processes have natural characteristic spatial and temporal
scales?
- Do processes examined at one scale correlate or describe
processes at another scale?
- Macro vs. micro issues:
- Are they application-dependent?
- What questions can be asked at different scales?
- Do we construct geographies of regions from geographies of
local places?
- At a patch or landscape scale, examine biodiversity. Develop
aggregation rules and determine if they hold over a variety of
scales. Examine biodiversity as a dynamic process rather than a
collection of species at one time.
- Study the same process at different spatial and temporal
scales.
- Are spatial and temporal scales logically linked.
- Examine various physical models (such as hydrologic surficial
flow and forest fire) using different resolutions of digital
elevation models. How does that relate to temporal
granularity?
- Examine a process at a cartographically (very) large scale
(e.g., carbon sequestration) and determine if a smaller
cartographic scale will result in a different temporal evolution or
if the process can be represented at all.
- Examine epidemiological or unemployment data as a process.
- Can we infer a process from observing different states?
5.4 Bridging Human and Formal Systems
A critical role is taken by the linkage between human thinking
and a formal system (such as a GIS). This involves communication,
as well as interaction and presentation. User interfaces
considerations may be based on temporal metaphors such as 3D and 4D
(dimension shifting); multiple dimensional rendering; animation
(scale shifting); simulation which involves statistical process
modeling; other dimensions that include sound or sonic metaphors
(music or time sequences) and color including raster false color
(synthetic imagery).
At the level of research methodologies, participants suggested
to (1) conduct specific case studies on the system level and
the user level, and (2) compare cross-sectional studies to
longitudinal studies.
- Consider the integration of multi-media in time
representation.
- How can we animate socio-economic and cultural processes (show
time)?
- Develop systems that use several communication channels (sound
and color as examples) in parallel.
- What systems can be developed for pattern detection (both
spatial and temporal data) in different modalities (e.g., audio,
devices for handicapped people, etc.)?
- What error models should be considered for space and time, and
how should error be conveyed to a user?
5.4.1 Communication and Cartographic Issues
Communication is the transfer of information to the user.
Communication is both aspatial and spatial. Aspatial communication
includes charts, graphs, and reports for time series whereas
spatial communication involves both static and dynamic mapping
techniques. Static techniques include dimension shifting, which
displays data on a temporal axis (e.g., accident data, time slice
map with space constant), and symbology, as when displaying
migration and other flow data. Dynamic techniques include animation
and dimension shifting. Animation provides the illusion of movement
to show time variability with time-dependent multivariante symbols
and icons such as graduated symbols, histograms and time-lines. Can
one consider either procedural or database animation, for example,
the illumination of terrain by the sun over time to show the
movement of shadows or the depiction of changes in the shoreline at
different times.
There are a number of issues and questions surrounding
sonification of spatial/temporal data. Are musical sound types
effective for display of data (empirical)? If so, what kinds of
data would sound convey effectively, and what sound types would be
effective in conveying the intended message? What would the
components of a sound interface be for a temporal GIS? One view
would be a sonic tool box?
Given current methods for cartographic representations (point,
line, areal and volumetric symbology), how can we show temporal and
spatial changes? What sort of maps can be derived from animation's?
How can missing information be supplied and flagged to the user?
Given sparse data samples, can a model be produced that
interpolates the gaps in the data.
Investigate different kinds of time series applications and
develop a taxonomy of these applications. Evaluate a variety of
display techniques for time series analysis. For example, animation
vs. static displays (such as dimension shifts).
How does one navigate through a temporal, spatial database? Is a
flight simulation metaphor useful for this? What might the
components of a Temporal Query Builder for a GIS be?
5.4.2 Researchable Questions
Many of the questions raised here are specific to the design and
implementation of user interfaces for spatio-temporal information
systems. In addition, many of the questions were raised specific to
human representation and understanding of spatio-temporal
phenomena, and formalization of these models in a temporal GIS.
- How do we present error, uncertainty, and imprecision about
time and space to the user?
- Investigate the use of various effects to show the quality and
nature of the data.
- How can missing information be supplied and flagged to the
user?
- What are appropriate user interface metaphors for temporal
information?
- Are these metaphors task-dependent? Scale-dependent?
Domain-dependent? Culturally dependent?
- For spatio-temporal information, can user interface metaphors
for time be combined with user interface metaphors for space, or
are special interface metaphors needed for spatio-temporal
information?
- Given current cartographic representation (point, line, and
areal symbols), how can we show changes over time?
- Static methods included dimension shifting (show data on a
temporal axis as in a time slice map) and symbology (use lines to
illustrate migration data and flow).
- Dynamic methods include animation (providing the illusion of
movement to show time variability using time for example dependent
multivariate symbols and icons such as graduated symbols and
histograms and time-lines) and dimension shifting (a procedural
animation, for example, illumination of terrain by the sun over
time using the movement of shadows to illustrate changes in a
shoreline at different times).
- What are the appropriate roles for different sensory modalities
(visual, auditory, tactile) for communicating temporal and spatial
changes?
- Four-dimensional mouse: How to
navigate through a temporal-spatial database? Is a flight
simulation metaphor appropriate?
- Might sound provide temporal information better than graphics?
Graphics present the entire picture simultaneously (sometimes
making it difficult to discover hidden patterns), where as sound
presents the picture linearly--similar to text and navigation.
- Are musical sound types effective for display of qualitative
and quantitative data? If so, what kinds of data and what sound
types?