Inspired by "Add GTFS to a Network Dataset" tool by Melinda Morang, I have generated this tool to use GTFS public transit data in ArcGIS so you can run schedule-aware analyses without using the Network Analyst.

The abundant access is the first in series of tools I am developing for ArcGIS to analyse the GTFS data. Simplicity is the main objective here, therefore all the analysis will be done in-fly.

The term "abundant access" is borrowed from Jarrett Walker's book, Human transit. You can use the abundant access to perform transit/pedestrian accessibility analyses, controlling for the number of transfers, walking between transfers, walking to transit and walking from transit. My aim is to develop a method that is useful for practitioners and decision-makers to make day-to-day decisions.

Note: No installation is necessary. This tool is only available for ArcGIS 10.4 or higher. It also works with ArcGIS Pro. This tool is still under development so please feel free to contact me if you encounter bugs or other problems or you simply have ideas or suggestions.For more information and updates, visit www.spatialanalyst.ir.

Goal 17Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentTarget 17.1: Strengthen domestic resource mobilization, including through international support to developing countries, to improve domestic capacity for tax and other revenue collectionIndicator 17.1.1: Total government revenue as a proportion of GDP, by sourceGR_G14_GDP: Total government revenue (budgetary central government) as a proportion of GDP (%)GR_G14_XDC: Total government revenue, in local currencyIndicator 17.1.2: Proportion of domestic budget funded by domestic taxesGC_GOB_TAXD: Proportion of domestic budget funded by domestic taxes (% of GDP)Target 17.2: Developed countries to implement fully their official development assistance commitments, including the commitment by many developed countries to achieve the target of 0.7 per cent of gross national income for official development assistance (ODA/GNI) to developing countries and 0.15 to 0.20 per cent of ODA/GNI to least developed countries; ODA providers are encouraged to consider setting a target to provide at least 0.20 per cent of ODA/GNI to least developed countriesIndicator 17.2.1: Net official development assistance, total and to least developed countries, as a proportion of the Organization for Economic Cooperation and Development (OECD) Development Assistance Committee donors’ gross national income (GNI)DC_ODA_SIDSG: Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LDCG: Net official development assistance (ODA) to LDCs as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LLDC: Net official development assistance (ODA) to landlocked developing countries from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_SIDS: Net official development assistance (ODA) to small island states (SIDS) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LDCS: Net official development assistance (ODA) to LDCs from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LLDCG: Net official development assistance (ODA) to landlocked developing countries as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTG: Net official development assistance (ODA) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTL: Net official development assistance (ODA) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTLGE: Official development assistance (ODA) from OECD-DAC countries on grant equivalent basis, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTGGE: Official development assistance (ODA) as a percentage of OECD-DAC donors' GNI on grant equivalent basis, by donor countries (%)Target 17.3: Mobilize additional financial resources for developing countries from multiple sourcesIndicator 17.3.1: Foreign direct investment, official development assistance and South-South cooperation as a proportion of gross national incomeGF_FRN_FDI: Foreign direct investment (FDI) inflows (millions of US dollars)Indicator 17.3.2: Volume of remittances (in United States dollars) as a proportion of total GDPBX_TRF_PWKR: Volume of remittances (in United States dollars) as a proportion of total GDP (%)Target 17.4: Assist developing countries in attaining long-term debt sustainability through coordinated policies aimed at fostering debt financing, debt relief and debt restructuring, as appropriate, and address the external debt of highly indebted poor countries to reduce debt distressIndicator 17.4.1: Debt service as a proportion of exports of goods and servicesDT_TDS_DECT: Debt service as a proportion of exports of goods and services (%)Target 17.5: Adopt and implement investment promotion regimes for least developed countriesIndicator 17.5.1: Number of countries that adopt and implement investment promotion regimes for developing countries, including the least developed countriesSG_CPA_SIGN_BIT: Number of countries with a signed bilateral investment treaty (BIT) (Number)SG_CPA_INFORCE_BIT: Number of countries with an inforce bilateral investment treaty (BIT) (Number)Target 17.6: Enhance North-South, South-South and triangular regional and international cooperation on and access to science, technology and innovation and enhance knowledge-sharing on mutually agreed terms, including through improved coordination among existing mechanisms, in particular at the United Nations level, and through a global technology facilitation mechanismIndicator 17.6.1: Fixed Internet broadband subscriptions per 100 inhabitants, by speed5IT_NET_BBNDN: Number of fixed Internet broadband subscriptions, by speed (number)IT_NET_BBND: Fixed Internet broadband subscriptions per 100 inhabitants, by speed (per 100 inhabitants)Target 17.7: Promote the development, transfer, dissemination and diffusion of environmentally sound technologies to developing countries on favourable terms, including on concessional and preferential terms, as mutually agreedIndicator 17.7.1: Total amount of funding for developing countries to promote the development, transfer, dissemination and diffusion of environmentally sound technologiesTarget 17.8: Fully operationalize the technology bank and science, technology and innovation capacity-building mechanism for least developed countries by 2017 and enhance the use of enabling technology, in particular information and communications technologyIndicator 17.8.1: Proportion of individuals using the InternetIT_USE_ii99: Internet users per 100 inhabitantsTarget 17.9: Enhance international support for implementing effective and targeted capacity-building in developing countries to support national plans to implement all the Sustainable Development Goals, including through North-South, South-South and triangular cooperationIndicator 17.9.1: Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countriesDC_FTA_TOTAL: Total official development assistance (gross disbursement) for technical cooperation (millions of 2018 United States dollars)Target 17.10: Promote a universal, rules-based, open, non-discriminatory and equitable multilateral trading system under the World Trade Organization, including through the conclusion of negotiations under its Doha Development AgendaIndicator 17.10.1: Worldwide weighted tariff-averageTM_TAX_WMFN: Worldwide weighted tariff-average, most-favoured-nation status, by type of product (%)TM_TAX_WMPS: Worldwide weighted tariff-average, preferential status, by type of product (%)Target 17.11: Significantly increase the exports of developing countries, in particular with a view to doubling the least developed countries’ share of global exports by 2020Indicator 17.11.1: Developing countries’ and least developed countries’ share of global exportsTX_IMP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise imports (%)TX_EXP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise exports (%)TX_EXP_GBSVR: Developing countries’ and least developed countries’ share of global services exports (%)TX_IMP_GBSVR: Developing countries’ and least developed countries’ share of global services imports (%)Target 17.12: Realize timely implementation of duty-free and quota-free market access on a lasting basis for all least developed countries, consistent with World Trade Organization decisions, including by ensuring that preferential rules of origin applicable to imports from least developed countries are transparent and simple, and contribute to facilitating market accessIndicator 17.12.1: Weighted average tariffs faced by developing countries, least developed countries and small island developing StatesTM_TAX_DMFN: Average tariff applied by developed countries, most-favored nation status, by type of product (%)TM_TAX_DPRF: Average tariff applied by developed countries, preferential status, by type of product (%)Target 17.13: Enhance global macroeconomic stability, including through policy coordination and policy coherenceIndicator 17.13.1: Macroeconomic DashboardTarget 17.14: Enhance policy coherence for sustainable developmentIndicator 17.14.1: Number of countries with mechanisms in place to enhance policy coherence of sustainable developmentSG_CPA_SDEVP: Mechanisms in place to enhance policy coherence for sustainable development (%)Target 17.15: Respect each country’s policy space and leadership to establish and implement policies for poverty eradication and sustainable developmentIndicator 17.15.1: Extent of use of country-owned results frameworks and planning tools by providers of development cooperationSG_PLN_PRVRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by provider (%)SG_PLN_RECRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by recipient (%)SG_PLN_PRVNDI: Proportion of project objectives of new development interventions drawn from country-led result frameworks - data by provider (%)SG_PLN_RECNDI: Proportion of project objectives in new development interventions drawn from country-led result frameworks - data by recipient (%)SG_PLN_PRVRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by provider (%)SG_PLN_RECRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by recipient (%)SG_PLN_REPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by recipient (%) SG_PLN_PRPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of

Goal 17Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentTarget 17.1: Strengthen domestic resource mobilization, including through international support to developing countries, to improve domestic capacity for tax and other revenue collectionIndicator 17.1.1: Total government revenue as a proportion of GDP, by sourceGR_G14_GDP: Total government revenue (budgetary central government) as a proportion of GDP (%)GR_G14_XDC: Total government revenue, in local currencyIndicator 17.1.2: Proportion of domestic budget funded by domestic taxesGC_GOB_TAXD: Proportion of domestic budget funded by domestic taxes (% of GDP)Target 17.2: Developed countries to implement fully their official development assistance commitments, including the commitment by many developed countries to achieve the target of 0.7 per cent of gross national income for official development assistance (ODA/GNI) to developing countries and 0.15 to 0.20 per cent of ODA/GNI to least developed countries; ODA providers are encouraged to consider setting a target to provide at least 0.20 per cent of ODA/GNI to least developed countriesIndicator 17.2.1: Net official development assistance, total and to least developed countries, as a proportion of the Organization for Economic Cooperation and Development (OECD) Development Assistance Committee donors’ gross national income (GNI)DC_ODA_SIDSG: Net official development assistance (ODA) to small island states (SIDS) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LDCG: Net official development assistance (ODA) to LDCs as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_LLDC: Net official development assistance (ODA) to landlocked developing countries from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_SIDS: Net official development assistance (ODA) to small island states (SIDS) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LDCS: Net official development assistance (ODA) to LDCs from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_LLDCG: Net official development assistance (ODA) to landlocked developing countries as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTG: Net official development assistance (ODA) as a percentage of OECD-DAC donors' GNI, by donor countries (%)DC_ODA_TOTL: Net official development assistance (ODA) from OECD-DAC countries, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTLGE: Official development assistance (ODA) from OECD-DAC countries on grant equivalent basis, by donor countries (millions of constant 2018 United States dollars)DC_ODA_TOTGGE: Official development assistance (ODA) as a percentage of OECD-DAC donors' GNI on grant equivalent basis, by donor countries (%)Target 17.3: Mobilize additional financial resources for developing countries from multiple sourcesIndicator 17.3.1: Foreign direct investment, official development assistance and South-South cooperation as a proportion of gross national incomeGF_FRN_FDI: Foreign direct investment (FDI) inflows (millions of US dollars)Indicator 17.3.2: Volume of remittances (in United States dollars) as a proportion of total GDPBX_TRF_PWKR: Volume of remittances (in United States dollars) as a proportion of total GDP (%)Target 17.4: Assist developing countries in attaining long-term debt sustainability through coordinated policies aimed at fostering debt financing, debt relief and debt restructuring, as appropriate, and address the external debt of highly indebted poor countries to reduce debt distressIndicator 17.4.1: Debt service as a proportion of exports of goods and servicesDT_TDS_DECT: Debt service as a proportion of exports of goods and services (%)Target 17.5: Adopt and implement investment promotion regimes for least developed countriesIndicator 17.5.1: Number of countries that adopt and implement investment promotion regimes for developing countries, including the least developed countriesSG_CPA_SIGN_BIT: Number of countries with a signed bilateral investment treaty (BIT) (Number)SG_CPA_INFORCE_BIT: Number of countries with an inforce bilateral investment treaty (BIT) (Number)Target 17.6: Enhance North-South, South-South and triangular regional and international cooperation on and access to science, technology and innovation and enhance knowledge-sharing on mutually agreed terms, including through improved coordination among existing mechanisms, in particular at the United Nations level, and through a global technology facilitation mechanismIndicator 17.6.1: Fixed Internet broadband subscriptions per 100 inhabitants, by speed5IT_NET_BBNDN: Number of fixed Internet broadband subscriptions, by speed (number)IT_NET_BBND: Fixed Internet broadband subscriptions per 100 inhabitants, by speed (per 100 inhabitants)Target 17.7: Promote the development, transfer, dissemination and diffusion of environmentally sound technologies to developing countries on favourable terms, including on concessional and preferential terms, as mutually agreedIndicator 17.7.1: Total amount of funding for developing countries to promote the development, transfer, dissemination and diffusion of environmentally sound technologiesTarget 17.8: Fully operationalize the technology bank and science, technology and innovation capacity-building mechanism for least developed countries by 2017 and enhance the use of enabling technology, in particular information and communications technologyIndicator 17.8.1: Proportion of individuals using the InternetIT_USE_ii99: Internet users per 100 inhabitantsTarget 17.9: Enhance international support for implementing effective and targeted capacity-building in developing countries to support national plans to implement all the Sustainable Development Goals, including through North-South, South-South and triangular cooperationIndicator 17.9.1: Dollar value of financial and technical assistance (including through North-South, South-South and triangular cooperation) committed to developing countriesDC_FTA_TOTAL: Total official development assistance (gross disbursement) for technical cooperation (millions of 2018 United States dollars)Target 17.10: Promote a universal, rules-based, open, non-discriminatory and equitable multilateral trading system under the World Trade Organization, including through the conclusion of negotiations under its Doha Development AgendaIndicator 17.10.1: Worldwide weighted tariff-averageTM_TAX_WMFN: Worldwide weighted tariff-average, most-favoured-nation status, by type of product (%)TM_TAX_WMPS: Worldwide weighted tariff-average, preferential status, by type of product (%)Target 17.11: Significantly increase the exports of developing countries, in particular with a view to doubling the least developed countries’ share of global exports by 2020Indicator 17.11.1: Developing countries’ and least developed countries’ share of global exportsTX_IMP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise imports (%)TX_EXP_GBMRCH: Developing countries’ and least developed countries’ share of global merchandise exports (%)TX_EXP_GBSVR: Developing countries’ and least developed countries’ share of global services exports (%)TX_IMP_GBSVR: Developing countries’ and least developed countries’ share of global services imports (%)Target 17.12: Realize timely implementation of duty-free and quota-free market access on a lasting basis for all least developed countries, consistent with World Trade Organization decisions, including by ensuring that preferential rules of origin applicable to imports from least developed countries are transparent and simple, and contribute to facilitating market accessIndicator 17.12.1: Weighted average tariffs faced by developing countries, least developed countries and small island developing StatesTM_TAX_DMFN: Average tariff applied by developed countries, most-favored nation status, by type of product (%)TM_TAX_DPRF: Average tariff applied by developed countries, preferential status, by type of product (%)Target 17.13: Enhance global macroeconomic stability, including through policy coordination and policy coherenceIndicator 17.13.1: Macroeconomic DashboardTarget 17.14: Enhance policy coherence for sustainable developmentIndicator 17.14.1: Number of countries with mechanisms in place to enhance policy coherence of sustainable developmentSG_CPA_SDEVP: Mechanisms in place to enhance policy coherence for sustainable development (%)Target 17.15: Respect each country’s policy space and leadership to establish and implement policies for poverty eradication and sustainable developmentIndicator 17.15.1: Extent of use of country-owned results frameworks and planning tools by providers of development cooperationSG_PLN_PRVRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by provider (%)SG_PLN_RECRIMON: Proportion of results indicators which will be monitored using government sources and monitoring systems - data by recipient (%)SG_PLN_PRVNDI: Proportion of project objectives of new development interventions drawn from country-led result frameworks - data by provider (%)SG_PLN_RECNDI: Proportion of project objectives in new development interventions drawn from country-led result frameworks - data by recipient (%)SG_PLN_PRVRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by provider (%)SG_PLN_RECRICTRY: Proportion of results indicators drawn from country-led results frameworks - data by recipient (%)SG_PLN_REPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of development cooperation - data by recipient (%) SG_PLN_PRPOLRES: Extent of use of country-owned results frameworks and planning tools by providers of

This data set is part of the TPB Regional Transportation Data ClearinghouseThe service is a collection of the Regional Automatic Counts, DC Bicycle Counts, and Northern Virginia Bicycle Counts. Below is a description of each Count type included in the service, as well as the data included for each.The 2018 Pedestrian and Bicycle Automatic CountsData represents pedestrian and bicycle trips captured by a regional network of automatic counters (http://www.bikearlington.com/counter-data/) located in Arlington County, City of Alexandria, the District of Columbia, and Montgomery County for calendar year 2018. The raw data was downloaded via Commuter Page’s web services ( http://www.commuterpage.com/pages/tools-resources/tools-for-developers/) and processed, organized and summarized.Layers:2018 Pedestrian Automatic Counts (regional)2018 Bicycle Automatic Counts (regional)Tables:2016 Bicycle Automatic Counts, Daily (regional)2016 Pedestrian Automatic Counts, Daily (regional2016 Bicycle and Pedestrian Automatic Counts, Monthly (regional)2017 Pedestrian Automatic Counts, Daily (regional)2017 Bicycle Automatic Counts, Daily (regional)2017 Bicycle and Pedestrian Automatic Counts, Monthly (regional)2018 Bicycle Automatic Counts, Daily (regional)2018 Pedestrian Automatic Counts, Daily (regional)Disclaimer (taken from BikeArlington): Because the dashboard presents "raw" data direct from the system server and the devices in the field, it will sometimes include errors, or contain gaps or blank periods. As we continue to develop the dashboard, our goal is to provide the most accurate and useful information possible. This may involve presenting both data direct from the system as well as data that have been normalized statistically. We invite your help and active participation in this process. If you find problems with the data, have questions about particular time periods, or would like to share insights or interpretations, please feel free to communicate them to: bikepedcounts@arlingtonva.us.Washington, D.C. Bicycle CountsBicycle Counts collected for Washington, D.C. during AM Peak and PM Peak time periods. Counts were totaled and recorded in 15 minute intervals from 06:00 to 10:00 and 15:00 to 18:00. The Street, between which intersections, date, day of the week, parking, speed limit, bike lanes, one way street, were all recorded for each count location. Count data collected by TPB Staff for DDOT includes: Day Total, Peak Time Period Total, Helmet(yes/no) Total, Male Total, Female Total, Adult, Child by Station. The related table includes Total (Time Period Total), Helmet (yes), Helmet (no), Male, Female, Adult, Child Total, Male Total, Female Total, Adult, Child by Station.Layers:District of Columbia Bicycle Count Stations Totals, Monthly (FY 2014, 2015, 2016, 2017)Tables:District of Columbia Bicycle Counts, Hourly (FY 2014, 2015, 2016, 2017) VDOT Bicycle CountsAs part of TPB's Northern Virginia Technical Assistance program, Travel Monitoring staff conduct bicycle and pedestrian counts for the Virginia Department of Transportation (VDOT) at requested locations on a regular basis. The data was collected utilizing VDOT's Miovision cameras (video data collection). The cameras allow directional observations. The layer data provided was collected at the 24-hour summary level by mode as well as by direction where available. 15-minute increments for the 24-hour period per count location for bicycles and pedestrians by direction where available data is made available in the tables .Layers:VDOT Pedestrian Counts (FY 2013, 2014, 2015, 2016, 2017)VDOT Bicycle Counts (FY 2013, 2014, 2015, 2016, 2017)Tables:VDOT Bicycle & Pedestrian Counts - Hourly (FY 2013, 2014, 2015, 2016, 2017)

Testbed-19: Interoperability and Collaboration from Oceans to SpaceOverview and BenefitsThe Open Geospatial Consortium (OGC) invites interested organizations to respond to the Call for Participation (CFP) for OGC’s Testbed-19 Collaborative Solutions and Innovation (COSI) Initiative. Testbed-19 is a collaborative effort to rapidly prototype, design, develop and test solutions to location-related problems. Funded participation is available. A Bidders Q&A Webinar will occur on March 8, 2023 from 10am-11am EST.The Testbed-19 initiative will explore 6 tasks, including Geospatial in Space, Machine Learning: Transfer Learning, Geodatacubes, Analysis Ready Data, Agile Reference Architecture, and High Performance Computing.Testbed-19 provides an outstanding opportunity to engage with and lead the latest research on geospatial system design, concept development, and rapid prototyping. The Initiative provides a business opportunity for stakeholders to mutually define, refine, and evolve service interfaces and protocols in the context of hands-on experience and feedback. By participating in Testbed-19, you will shape the future of geospatial software development and data publication.Testbed-19 offers selected Participants a unique opportunity to recoup a significant portion of their initiative expenses. Testbed Sponsors, including several OGC Strategic Members, are supporting this vision with cost-sharing funds to partially offset the costs associated with development, engineering, and demonstration of these outcomes. In 2021 and 2022, OGC’s COSI Program (formerly the Innovation Program) gave over US$2 Million per year back to the geospatial community via COSI Initiatives.Testbed-19 that will pave the way towards new levels of location interoperability across the following topics:Geospatial in Space: aims to free OGC standards and technologies from Terrestrial constraints and allow geospatial analytic tools and techniques to be used on other astronomical bodies as well as in deep space. Testbed-19 will also fully integrate the terrestrial and extraterrestrial analytic toolset and processes.Machine Learning (ML): aims to document current approaches and possible alternatives to lay out a path for future standardization of interoperable/transferable ML Models for Earth Observation applications.Geodatacubes (GDC): aims to define the GDC API and metadata model, test the new API against a set of use cases, develop implementations that allow further experimentation, and develop a number of client applications for both data access and advanced visualization.Analysis Ready Data (ARD): aims to create, develop, identify, and implement ARD capabilities to advance informational data at the right place and at the right time. The ease-of-use of ARD will be increased through improving the backend standardization and disparate use-case scenario implementations.Agile Reference Architecture: aims to create, develop and identify the architecture elements for agile reference architectures and understand how these can be used for defining different use-cases that allow different implementations for API Building Blocks. This work is seeking to inform how Resilient Data Services in the generation after next will operate.High Performance Computing (HPC): aims to evaluate previous work in using HPC for geospatial analytics and help develop High-Performance Geospatial Computing standards.As the largest Research & Development (R&D) Initiatives conducted under OGC’s COSI Program, OGC Testbeds exist at the cutting edge of technology, actively exploring and evaluating future geospatial technologies to solve today’s problems. The solutions developed in Testbeds eventually move into the OGC Standards Program, where they are reviewed, revised, and potentially approved as new international open standards that can reach millions of individuals.The development of Testbed topics is a collaborative process between OGC and interested sponsors. During the first phase (November, December, January), sponsors and the OGC team work together to refine use cases and requirements on the sponsor side and transform these into actual work items. Each work item will be assigned to an OGC member organization for implementation during the Testbed-19 execution phase. Once these discussions are complete, OGC will develop a Call for Participation that is planned to be released to the public in early February. After a 45-day response period, OGC together with the sponsors will select the best participants based on the received proposals to form the Testbed-19 team. The execution phase, the phase of system design, rapid prototyping, testing, and documentation will be executed from May to December 2023.Call for Participation information: The Open Geospatial Consortium (OGC) issued a Call for Participation (CFP) for OGC Testbed-19; the PDF version can be found here. Funding was available, and responses closed on April 11, 2023, @11:59 PM AoE. For proposal submissions, please follow this link.Tags:Agile, AI/ML, Analysis Ready Data, ARD, Climate Change, Cloud Native, Digital Twins, Disaster Resilience, EO, GeoDataCubes, OGC APIs, Space, Testbed, Testbed-19