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UID:pretalx-foss4g-2022-ALBXPD@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T152000
DTEND;TZID=CET:20220825T152500
DESCRIPTION:Geospatial data and analysis is more central than ever to data 
 science\, research\, and policy analyses. This is especially evident in th
 e explosion of tools\, both open source and proprietary that have been dev
 eloped over the past 5 years to help users manage and gather insights from
  their data. However many of these powerful tools\, like geopandas (analys
 is and modeling) and deck.gl (visualization)— are technically inaccessib
 le to analysts and researchers without the available time or skills for ad
 vanced coding. A number of commercial ventures (Carto\, ESRI etc) attempt 
 to overcome this limitation by bringing these tools together as part of po
 lished\, graphical user interface driven platforms. While these platforms 
 offer ease of use\, they raise concerns about longevity\, data ownership\,
  and academic support.\n\nMatico is a new free and open-source platform we
  are developing at the Spatial Data Science center that seeks to fill the 
 gap between open but technically focused tools and commercial platforms. C
 onsisting of a suite of interoperable components\, Matico enables organiza
 tions and individuals to manage and visualize their geospatial data while 
 easily maintaining their own infrastructure. A backend server allows users
  to easily load\, clean\, analyze\, and distribute data through APIs\, que
 ries\, and in-browser data editing tools while a powerful app builder allo
 ws users to develop their own rich applications that target diverse audien
 ces.\n\nThis talk will demonstrate the current features of Matico\, our fu
 ture roadmap \, and demonstrate relevant use cases. Matico is now and will
  forever be open through a permissive MIT open-source license. Learn more 
 at https://matico.app/
DTSTAMP:20260404T032758Z
LOCATION:Modulo 0
SUMMARY:Matico a new federated FOSS platform for spatial analysis\, data ma
 nagement\, visualization\, and app building - Stuart Lynn\, Dylan Halpern
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/ALBXPD/
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UID:pretalx-foss4g-2022-XV87XB@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T164500
DTEND;TZID=CET:20220825T171500
DESCRIPTION:The proliferation of client-side analytics and on-going vulnera
 bilities with shared code libraries have fueled the need for better safety
  standards for running executables from potentially unknown sources. WebAs
 sembly (WASM)\, a compilation target that allows lower-level languages lik
 e Rust\, C\, and Go to run in the browser or server-side at near-native sp
 eeds. Much like Docker changed the way we run virtualized workflows\, WASM
  runtimes create safe virtual environments where access to the host system
  is limited. \n\nIn combination with a new free and open source full-stack
  geospatial platform\, Matico\, efforts are underway to enable portability
  across workflows and applications to more easily use WASM modules. WASM i
 mplementations of GDAL are in the works\, and powerful open source Rust ge
 ospatial libraries are easily packaged for web usage through Wasm-Pack. Ad
 ditional geo WASM libraries like jsgeoda provide spatial indices\, binning
 \, and autocorrelation functions. Shareable code can be a recipe for secur
 ity vulnerabilities and attack vectors\, potentially exposing personal or 
 critical information\, particularly if there is the opportunity to run cod
 e server-side. WASM implementation alleviates this by requiring access fro
 m the Virtual Machine (VM) to be limited and explicit\, and for Javascript
  developers the lightweight AssemblyScript language is relatively familiar
 . \n\nAn upcoming Javascript feature called ShadowRealms may enable even s
 impler and more familiar implementations to safely run Javascript code sha
 red between module authors. These developments lay the groundwork for a hy
 brid front- and backend geospatial ecosystem of shareable code snippets an
 d analytic functions\, much like have emerged in the UI component Javascri
 pt ecosystem. The combination of emerging features positions web geospatia
 l analytics and This talk explores the implementation and performance of r
 unning geospatial analytic modules through a WebAssembly virtual machine a
 nd through the upcoming Javascript ShadowRealm specification.
DTSTAMP:20260404T032758Z
LOCATION:Room Limonaia
SUMMARY:Write once\, run anywhere: safe and reusable analytic modules for W
 ebAssembly\, Javascript\, or more! - Stuart Lynn
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/XV87XB/
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