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    The future of (Developer) Tooling for Geospatial +

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    María Arias de Reyna Domínguez

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    @delawen@floss.social - @delawen@twitter.com

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    Senior Software Engineer

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    +
    +
    Who am I?
    +
    +
    +
    +
      +
    • 2008 Software Engineer
    • +
    • Free and Open Source Advocate
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    • GeoSpatial Ranger
    • +
        +
      • 2007 Web Mapping Artificer
      • +
      • 2009 Dijkstra A* Warlock
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      • 2012 Metadata Paladin
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      • 2013 OSGeo Charter Member
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          +
        • 2017-2019 OSGeo President
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        +
      +
    • Integration Druid
    • +
        +
      • 2019 Apache Camel contributor
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      • 2020 Apache Software Foundation Committer
      • +
      • 2021 Create Low Code/No Code Integrator
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      +
    • Java Champion
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    +
    + + +
    +
    +
    +
    What we are going to talk about
    +
    +
    +

    (Developer) Tooling for GeoSpatial

    +
      +
    • What do we mean by (Developer) Tooling?
    • +
    • Guess the future to prepare best
    • +
    + +
    + +
    +
    +
    +
    The evolution of tooling
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    +
    +

    How Software Evolves

    + +
    + +
    +
    +
    +

    Does this also apply in GeoSpatial?

    + +
    +
    +
    +
    +

    GeoSpatial Science

    + +

    What drives innovation and defines future tooling

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    + +
    +
    +
    +
    The Evolution of Geospatial
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    +
    +

    Evolution of Geospatial

    +

    The best way to infer our future is to study our evolution.

    +
      +
    • Analogic
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    • Digitalization
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    • Location Intelligence
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    • Smart Geospatial
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    +
    +
    +
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    +
    Analogic Era
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    +
    +

    Analogic Era

    + +

    Mappa di Eratostene

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    +
    +
    +
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    Analogic Tooling

    + +
    +
    +
    +
    +

    Early Technology

    + +

    Census Bureau cartographers prepare maps for the 1960 census.

    +
    +
    +
    +
    +
    Digitalization
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    +
    +

    Digitalization

    +
      +
    • Better Editing Tools
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    • Better Storage Formats
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    • More Detail and Complex DataSets
    • +
        +
      • Ontology and Semantics
      • +
      +
    • Satellite and Aerial Data
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        +
      • Raster!!
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      +
    +
    + +
    +
    + + +
    +
    +
    +

    What do we do with the Big Data?

    + +
    +
    +
    +
    +

    Feed it with Big Data!

    +
      +
    • Artificial Neural Networks (ANN)
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    • Heuristic Algorithms
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    • Fuzzy Logics
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    • Deep Learning
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    +
    + +
    +
    +
    +

    The power of Big Data

    +
      +
    • Identifying Spatial Patterns
    • +
        +
      • Singularities and Anomalies
      • +
          +
        • Land Use
        • +
        • Detect illegal buildings
        • +
        +
      • Spatial Interpolation and Prediction
      • +
          +
        • Flooding Prevention and Mitigation
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        • Coastline evolution
        • +
        +
      +
    • Exploring Spatial Factors
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    • Spatial Simulation
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    • Decision Making
    • +
        +
      • Better urban planning (roads, facilities,... )
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      +
    +
    + +
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    Location Intelligence
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    +
    +

    Location Intelligence

    +

    Business Intelligence for GeoSpatial

    + +
    +
    +
    +
    +

    Frameworks to simplify the work

    + +
    +                //Start with a timer that executes the operation every 10 seconds
    +                from("timer:java?period=10000")
    +                      //Access the CSV file which can be on an api or storage device
    +                      .to("{{source.csv}}")
    +                      //unmarshal and split the workflow per row 
    +                      .unmarshal().split(body()).streaming()
    +                      //process each row
    +                      //the process is defined in a separated file
    +                      .process(processCsv)
    +                      //push the results to the following API
    +                      .to("https://nominatim.example.com/reverse")
    +                      //the returned XML is also processed
    +                      .unmarshal().jacksonxml()
    +                      //again, the processor is defined in a separated file
    +                      .process(processXML)
    +                      //Prepare an SQL query based on the result of the process
    +                      .setBody().simple("SELECT info FROM table WHERE id like '${exchangeProperty.pollutant}'")
    +                      //send the SQL query to the database
    +                      .to("jdbc:postgresBean?readSize=1")
    +                      //collect the result and process it
    +                      .process(processDB)
    +                      //reunite the parallel streams that started on the csv processing
    +                      .aggregate(constant(true), aggregationStrategy)
    +                      .completionSize(5)
    +                      //given the list of outputs per row in csv, process it
    +                      .process(buildGeoJSON)
    +                      //store the result in another database
    +                      .to("mongodb:mongoBean?database=example&collection=mySpatialObjects&operation=insert")
    +                 
    +               
    +
    + +
    +
    +
    +
    Smart Geospatial
    +
    +
    +

    Smart Geospatial

    + +

    When we met "Artificial Intelligence"

    +
    +
    +
    +
    +

    What we won't discuss

    + +

    Let's focus on what we can, not what we should.

    +
    +
    +
    +
    +

    Artificial Intelligence

    +

    Natural Language => Structured Format

    +
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    • Natural Language -> Query
    • +
        +
      • Specific LLM models
      • +
      +
    • Natural Language -> Spatial Data
    • +
        +
      • Semantic models
      • +
      +
    +

    Raster => Structured Data

    +
      +
    • Imagine Processing
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    • Blind descriptions
    • +
    +

    Structured Format => Natural Language

    +
      +
    • Generate map descriptions
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    • Generate labels automatically
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    • Choose the best style
    • +
    +
    +
    +
    +
    +

    Example Case 1

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    Próximo

    +

    Generate a map based on locations described in a text.

    + +
    +
    +
    +
    +

    Example Case 2

    +

    Text to Map

    +

    Instantly turn text sources and ChatGPT prompts into insightful interactive geo maps.

    + +
    +
    +
    +
    +

    Example Case 3

    + +
    +
    +
    +
    +

    Are we there yet?

    +
    + + +
    +
    +
    +

    Generative AI vs Derivative AI

    +
      +
    • Ethical concerns
    • +
    • Security concerns
    • +
        +
      • Where does my data go?
      • +
      • Am I training my competitors?
      • +
      • Whose data I'm using?
      • +
      +
    • Mix different types of AI
    • +
    +
    +
    +
    +
    +
    Food for Thought
    +
    +
    +

    There's a long road ahead

    +
      +
    • AI Helpers
    • +
    • Higher programming languages
    • +
        +
      • Low Code
      • +
      • No Code
      • +
      • Better Frameworks and Libraries
      • +
      +
    • Reuse as much code as you can
    • +
    • Validate your Data Sources
    • +
    +
    +
    +
    +
    +
    Questions?
    +
    +
    +

    Questions?

    + +
    +
    +
    +
    +
    + +
    +
    + + + + + + + + + + + + + + \ No newline at end of file diff --git a/stylesheets b/stylesheets index 13cefef..443ac24 160000 --- a/stylesheets +++ b/stylesheets @@ -1 +1 @@ -Subproject commit 13cefeff4c2be994f40083677681025feeea1ceb +Subproject commit 443ac24608b24599443cd0550ac2860e54b4941c

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