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1000 results for “data0”

  1. Help #Data #GeoData

    Tu bidouilles des la data et des cartes ?

    J'ai cette carte avec les données risques innondations
    agdvp.brgm.fr/#/context/georis

    Je n'arrive pas du tout à partir des données exportées à faire un fichier .shp ou .geojson ou gpkg pour avoir un rendu similaire sur la carte que je travaille (Rennes intra rocade + 10 km autour.

    Je ne comprends rien de rien. Ni si les données exportées depuis le brgm ne sont pas celles représentées sur le rendu carto, ni si je rate quelque chose lorsque je converti en geojson

    mon but : approché par le risque inondation (lui issu de nombreuses études et interprétations) d'une représentation du lit majeur du fleuve (même approximative) .

    d'autres data pour contexte
    georisques.gouv.fr/mes-risques

    todon.eu/@XavCC/11662009936622

  2. Help #Data #GeoData

    Tu bidouilles des la data et des cartes ?

    J'ai cette carte avec les données risques innondations
    agdvp.brgm.fr/#/context/georis

    Je n'arrive pas du tout à partir des données exportées à faire un fichier .shp ou .geojson ou gpkg pour avoir un rendu similaire sur la carte que je travaille (Rennes intra rocade + 10 km autour.

    Je ne comprends rien de rien. Ni si les données exportées depuis le brgm ne sont pas celles représentées sur le rendu carto, ni si je rate quelque chose lorsque je converti en geojson

    mon but : approché par le risque inondation (lui issu de nombreuses études et interprétations) d'une représentation du lit majeur du fleuve (même approximative) .

    d'autres data pour contexte
    georisques.gouv.fr/mes-risques

    todon.eu/@XavCC/11662009936622

  3. Help #Data #GeoData

    Tu bidouilles des la data et des cartes ?

    J'ai cette carte avec les données risques innondations
    agdvp.brgm.fr/#/context/georis

    Je n'arrive pas du tout à partir des données exportées à faire un fichier .shp ou .geojson ou gpkg pour avoir un rendu similaire sur la carte que je travaille (Rennes intra rocade + 10 km autour.

    Je ne comprends rien de rien. Ni si les données exportées depuis le brgm ne sont pas celles représentées sur le rendu carto, ni si je rate quelque chose lorsque je converti en geojson

    mon but : approché par le risque inondation (lui issu de nombreuses études et interprétations) d'une représentation du lit majeur du fleuve (même approximative) .

    d'autres data pour contexte
    georisques.gouv.fr/mes-risques

    todon.eu/@XavCC/11662009936622

  4. 🖥️ 💵 🖥️ 💵 🖥️ 💵

    The Hidden Price of Free: Why Your Data is Worth Far More Than You Think

    "We found that Big Tech and AI companies earn upto $162,492 in inflation-linked commercial value from each internet user worldwide over a digital lifetime. Across the world’s estimated six billion internet users, that upper lifetime estimate would amount to approximately $745 trillion in commercial value."

    🔗 medium.com/web3foundation/the-

    #Data #AttentionEconomy #Economy #Commerce #AI #ArtificialIntelligence #Technology #Tech #BigTech

  5. OCR для Data Lakehouse: от Apache Tika к собственному решению на базе Docling

    Привет, Хабр! Это Андрей Ловлин, руководитель команды «Фабрика данных. Платформа» компании Диасофт. В предыдущей статье мы рассказывали про S3 Архипелаг – слой хранения для нашей

    habr.com/ru/companies/diasoft_

    #data_engineering #data_lakehouse

  6. OCR для Data Lakehouse: от Apache Tika к собственному решению на базе Docling

    Привет, Хабр! Это Андрей Ловлин, руководитель команды «Фабрика данных. Платформа» компании Диасофт. В предыдущей статье мы рассказывали про S3 Архипелаг – слой хранения для нашей

    habr.com/ru/companies/diasoft_

    #data_engineering #data_lakehouse

  7. OCR для Data Lakehouse: от Apache Tika к собственному решению на базе Docling

    Привет, Хабр! Это Андрей Ловлин, руководитель команды «Фабрика данных. Платформа» компании Диасофт. В предыдущей статье мы рассказывали про S3 Архипелаг – слой хранения для нашей

    habr.com/ru/companies/diasoft_

    #data_engineering #data_lakehouse

  8. OCR для Data Lakehouse: от Apache Tika к собственному решению на базе Docling

    Привет, Хабр! Это Андрей Ловлин, руководитель команды «Фабрика данных. Платформа» компании Диасофт. В предыдущей статье мы рассказывали про S3 Архипелаг – слой хранения для нашей

    habr.com/ru/companies/diasoft_

    #data_engineering #data_lakehouse

  9. The Hundred-Page Machine Learning Book (PDF + EPUB + extra PDF formats) by Andriy Burkov is on sale on Leanpub! Its suggested price is $40.00; get it for $14.00 with this coupon: leanpub.com/theMLbook/c/LeanPu #data_science #computer_science

  10. The Hundred-Page Machine Learning Book (PDF + EPUB + extra PDF formats) by Andriy Burkov is on sale on Leanpub! Its suggested price is $40.00; get it for $14.00 with this coupon: leanpub.com/theMLbook/c/LeanPu #data_science #computer_science

  11. The Hundred-Page Machine Learning Book (PDF + EPUB + extra PDF formats) by Andriy Burkov is on sale on Leanpub! Its suggested price is $40.00; get it for $14.00 with this coupon: leanpub.com/theMLbook/c/LeanPu #data_science #computer_science

  12. Data vs. Drama—the 20-Year Legacy of Al Gore’s Climate Warnings | Opinion

    Two decades ago, Al Gore’s movie An Inconvenient Truth thrust climate change into the global spotlight. With dramatic…
    #NewsBeep #News #Environment #AlGore #CA #Canada #climatechange #Science
    newsbeep.com/ca/691048/

  13. Data vs. Drama—the 20-Year Legacy of Al Gore’s Climate Warnings | Opinion

    Two decades ago, Al Gore’s movie An Inconvenient Truth thrust climate change into the global spotlight. With dramatic…
    #NewsBeep #News #Environment #AlGore #CA #Canada #climatechange #Science
    newsbeep.com/ca/691048/

  14. A rare network perspective on lack of access to data:

    "Modeling the impact of research data unavailability on science."
    sciencedirect.com/science/arti

    "We analyzed how the loss of access to research resources propagates through interconnected bodies of scientific work. Our results show that information loss is not merely a local reproducibility issue but a structural phenomenon with system-wide implications…The unavailability of research data imposes a measurable efficiency loss on the scientific system…Preserving or restoring access to datasets associated with structurally central publications may prevent cascading losses that far exceed the local cost of data recovery. This insight provides a quantitative rationale for prioritizing preservation efforts based on network position and propagation risk."

    #Data #OpenData #Preservation #ScholComm

  15. A rare network perspective on lack of access to data:

    "Modeling the impact of research data unavailability on science."
    sciencedirect.com/science/arti

    "We analyzed how the loss of access to research resources propagates through interconnected bodies of scientific work. Our results show that information loss is not merely a local reproducibility issue but a structural phenomenon with system-wide implications…The unavailability of research data imposes a measurable efficiency loss on the scientific system…Preserving or restoring access to datasets associated with structurally central publications may prevent cascading losses that far exceed the local cost of data recovery. This insight provides a quantitative rationale for prioritizing preservation efforts based on network position and propagation risk."

    #Data #OpenData #Preservation #ScholComm

  16. A rare network perspective on lack of access to data:

    "Modeling the impact of research data unavailability on science."
    sciencedirect.com/science/arti

    "We analyzed how the loss of access to research resources propagates through interconnected bodies of scientific work. Our results show that information loss is not merely a local reproducibility issue but a structural phenomenon with system-wide implications…The unavailability of research data imposes a measurable efficiency loss on the scientific system…Preserving or restoring access to datasets associated with structurally central publications may prevent cascading losses that far exceed the local cost of data recovery. This insight provides a quantitative rationale for prioritizing preservation efforts based on network position and propagation risk."

    #Data #OpenData #Preservation #ScholComm

  17. A rare network perspective on lack of access to data:

    "Modeling the impact of research data unavailability on science."
    sciencedirect.com/science/arti

    "We analyzed how the loss of access to research resources propagates through interconnected bodies of scientific work. Our results show that information loss is not merely a local reproducibility issue but a structural phenomenon with system-wide implications…The unavailability of research data imposes a measurable efficiency loss on the scientific system…Preserving or restoring access to datasets associated with structurally central publications may prevent cascading losses that far exceed the local cost of data recovery. This insight provides a quantitative rationale for prioritizing preservation efforts based on network position and propagation risk."

    #Data #OpenData #Preservation #ScholComm