The next generation?


Objectives of lecture:

  1. Trying to figure out where the GIS software community will go
  2. What elements will remain unchanged in 25 years?

The Bleeding Edge

Trying to second-guess (or predict) the technological process is extremely risky; so here we go!

Like all computer-based industries, GIS is currently going through an adjustment to deal with the reality of the web. Lots of the old thinking was thrown out as the network arose as a primary vehicle for just about everything.
Map servers arose as a key application, and everything looks like a browser to the user. Perhaps in 25 years, we will still see that the interface to the user still seems to be a browser-like application, but the unity of a single platform might go a lot of ways. The really dumb client is likely to be replaced but whether it is Java or something else is beyond my crystal ball.

At one time, a famous computer scientist said: "I don't know what the computer languages of the future will be like, but they will be called "FORTRAN"." He was wrong, it is BASIC, but the point is the same. Visual Basic has very little to do with the original (line-oriented, global data structure, etc.) BASIC language from Dartmouth, but the name is part of making one particular direction seem obvious. It does explain the silly "DIM" statement (short for DIMENSION, taken from FORTRAN) and the "SET" statement that you can now only use on "objects" not variables...

My guess is that the glimmers of the future are already here. We will point back to an evolution that seems smooth, with continuous connections to this past we are currently living in. So what is the obvious stuff we are missing in the current maze?

Is SDE the next generation?

The "Spatial Database Engine" now ArcSDE was added to the ESRI product line in 1994 to the ESRI product line (short history), but only recently integrated into version 8 as the "database" format.
No description here, lots of publicly available stuff in .pdf... Issue of database and platform. (see compatability matrix)

Is a data warehouse approach really the wave of the future (or simply a wave of the past that finally became possible)?

Key attributes of SDE:

  • They claim it is fast; it actually is fast.
  • It does a lot of analytical functions on the fly (concept of series of filters)
  • It allocates work between client and server in a calculated way...
  • It reverses just about every technical decision in the design of ArcView shapefiles...
  • Focused on use, not database construction. The integrity has to be verified, yes, but that isn't the top priority in the user structure... So, the lack of topology is just in the data stored, it actually provides greater access to topological analytical results in the queries.

    Server side strength: use of Applications Programmer's Interface (API) - means that users have to write programs? or at the mercy of browser-like clients (=ArcView?)

    What passes for strategy at ESRI... BUT SDE is already here. The next generation has to be something deeper (or does it?)

    Is Open GIS any closer?

    The Open GIS Consortium (OGC to some) is trying to stake out another future. (ESRI of course is a member, and so is just about everyone else...). The program focus on interoperability. This is a big issue, but will it define the next generation, or simply ratify the current generation?

    Their Guide lays out the approach. (html version through TOC; or download printable versions). The Abstract Specifications are the stage they are in now, but a few implementations are being done. They have another Intitiative to deal with Web Mapping..


    Services

    The critical difference between OGC and just yet-again-another-standard will be in the concept of a "service".

    ESRI is trying to grab a hunk of this future through their Geography Network. Their web services are still pretty underpowered, but a direction for the future?


    Other potential futures

    Genetic Algorithms

    Writing programs based on a "genetic code" that can be recombined. Try a variant, subject it to some test, allow offspring to survive if they are "more fit"..

    Multi-Agent Simulations

    REAL object orientation: objects have a life of their own, with code (method) and data; multiple agents let loose in some "environment" and they interact... Some of these are geographic in orientation.

    SWARM: Santa Fe Institute, now .org

    Cormas: CIRAD, France

    SME (Spatial Modeling Environment)



    What are we missing?

    Back to some basics:

    Databases as a set of objects, relationships and axioms.
    Problem is that we often confuse one for the other.
    Topology might have been used primarily as an integrity constraint (axiom) for data input stages (where we were in the 1970s) but it is also about relationships, and defining the objects in the first place. So, in practice it is hard to pry them apart.

    Do we understand how to do multiple views of shared objects? is "semantic interoperability" really comprehending the problem?
    How do we enforce complex integrity constraints?

    Geographic information

    Analysis of this information:


    Divisions of Labor/knowledge

    In many cases, the technology seems to be about playing the game of "configure the user", a power play to redefine the division of labor (and knowledge). Eric Raymond sets out a contrast between "cathedral" (centralized) and "bazaar" (decentralized) software development (article). His main observation is what he calls "Linus' Law" : "Given enough eyeballs, all bugs are shallow". For the Linux OS, the software was freely disseminated so the user was expected to actually find and remedy the bugs. In the ESRI case, there is a litle tinge of distributed bug checking, but a huge residue of the centralist model. This isn't the only insight about software, but it demonstrates that there are multiple models that are inherently social. An article about the limits of the bazaar as a model;

    Twenty five years from now

    The "technical" equipment may be beyond our wildest dreams, but it may be running with the same old tired theories and assumptions. The human component (you!) will have to make the difference and hold out for something more...


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    Version of 3 March 2003