World's Settlement Layer

Topic

The role Anatoly Yakovenko ascribes to Ethereum, where the finality and security of transactions are prioritized over speed, suitable for settlement which can take minutes.


First Mentioned

9/19/2025, 1:08:31 AM

Last Updated

9/19/2025, 1:17:21 AM

Research Retrieved

9/19/2025, 1:17:21 AM

Summary

The "World's Settlement Layer" is a conceptual term used by Anatoly Yakovenko, CEO of Solana Labs and co-founder of Solana, to describe Ethereum. Yakovenko strategically differentiates Solana as the "World's Execution Layer," emphasizing its speed, in contrast to Ethereum's role as the "World's Settlement Layer," which focuses on the finality and security of transactions. This distinction highlights the different architectural priorities and value propositions within the cryptocurrency space.

Referenced in 1 Document
Research Data
Extracted Attributes
  • Type

    Conceptual Term

  • Coined by

    Anatoly Yakovenko

  • Refers to

    Ethereum

  • Contrasted with

    World's Execution Layer (Solana)

  • Primary Function

    Finality and security of transactions

Web Search Results
  • Global Human Settlement Layer - Wikipedia

    The Global Human Settlement Layer (GHSL) is a project from the European Commission that creates global geographical data about the evolution of human habitation on Earth. This in the form of population density maps, built-up maps "Mapping (cartography)"), and settlement maps. This information is produced using new geographic data mining tools and knowledge and analytics based on empirical data. [...] [edit] 1. ^ Jump up to: a b c "About the GHSL". jrc.ec.europa.eu. Retrieved 2023-05-17. 2. ^ Melchiorri, Michele (2022-09-15). "The global human settlement layer sets a new standard for global urban data reporting with the urban centre database". frontiersin.org. Vol. 10. doi "Doi (identifier)"):10.3389/fenvs.2022.1003862. ## External links [edit] [...] Jump to content # Global Human Settlement Layer Русский Edit links From Wikipedia, the free encyclopedia

  • Global Human Settlement Layer 2023

    The Global Human Settlement Layer (GHSL) project is a comprehensive initiative that generates global spatial data and evidence-based analytics, offering insights into the distribution and characteristics of human presence on Earth. The project follows an open and unrestricted data and methods access policy. The knowledge derived from GHSL plays a crucial role in shaping European policies, fostering public discussions, and facilitating the implementation of international frameworks like the 2030 [...] - [x] Data Catalog Data Catalog - [x] Data Themes Data Themes - [x] Population & Socioeconomic Population & Socioeconomic High Resolution Settlement Layers LandScan Population Data GlobPOP Global Gridded Population Dataset POMELO Model Population Density Maps POPCORN Scalable Population Mapping with Sentinel-1 & Sentinel-2 Global Administrative Unit Layers (GAUL) 2024 [...] Development Agenda. This release offers enhanced built-up area information, including surface, volume, and height measurements, along with population data. Moreover, it introduces a new settlement model and a classification system for administrative and territorial units based on the "Degree of Urbanisation" framework. The GHSL Data Package 2023 consists of multitemporal products, that offers an insight into the human presence in the past (epochs from 1975 through 2020, 5 years interval) and

  • The global human settlement layer sets a new standard ... - Frontiers

    2019a). It is in the above framework and auspices that the European Commission’s Joint Research Centre (JRC) has developed a suite of (open and free) data and tools named the Global Human Settlement Layer (GHSL). The GHSL maps human presence on Earth, sourcing information from 1975 and up to 2030 by delineating built-up areas and population distribution as well as classifying settlement typologies. To improve the science for policy support to the European Commission Directorate Generals and [...] Citation: Melchiorri M (2022) The global human settlement layer sets a new standard for global urban data reporting with the urban centre database. Front. Environ. Sci. 10:1003862. doi: 10.3389/fenvs.2022.1003862 Received: 26 July 2022; Accepted: 15 September 2022; Published: 13 October 2022. Edited by: Reviewed by: [...] the disparities between data-rich and data-poor territories. The Global Human Settlement Layer (GHSL) project of the European Commission has generated an open-source global dataset on cities—the GHSL Urban Centre Database (GHS-UCDB). This database describes more than 10,000 Urban Centres in 2015, with their locations, extent, and sets of geographical, socio-economic, and environmental attributes, as well as multi-temporal data records (covering a time span of up to 40 years) (Figure 6). The

  • Global Human Settlement Layer tools - EU Science Hub

    European Commission logo # Global Human Settlement Layer tools The Global Human Settlement Layer (GHSL) project produces and analyses global built-up surface, population density and human settlement thematic maps to understand human presence on the planet. [...] GHSL data are extensively used by scientists, decision makers and practitioners to address International Framework Agreement including New Urban Agenda, Sendai Framework for Disaster Risk Reduction, the Paris Agreement and the Sustainable Development Goals. Global Human Settlement Layer Share this page European Commission logo Follow the European Commission [...] GHSL thematic maps are used to address urbanisation, disaster risk reduction and sustainable development issue at different scales. Built-up surface maps are generated by processing Landsat image archives dating back to 1975 and newly available Copernicus Sentinel imagery.

  • Global Human Settlement Layer - JRC Data Catalogue

    Global Human Settlement Layer project is supported by European Commission, Joint Research Centre and Directorate-General for Regional and Urban Policy. The GHSL produces new global spatial information, evidence-based analytics, and knowledge describing the human presence in the planet. The GHSL relies on the design and implementation of new spatial data mining technologies allowing to process automatically and extract analytics and knowledge from large amount of heterogeneous data including: