This GIS maps fourteen voyages by Catalan vessels during the nineteenth century, mainly carrying tasajo and other commodities on a triangular route between Spain, the Rio de la Plata, and the Caribbean. I first published this GIS on my blog: http://aclsproject.blogspot.com, which contains much more information about the data, methods, and content.

COVID-19 data available by county from Johns Hopkins University (ArcGIS Blog).Johns Hopkins University is now providing data in a map layer by county for COVID-19 cases and deaths. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. See the FAQ or contact Johns Hopkins for more information._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

How your GIS department can respond to COVID-19 (ArcGIS Blog).Your organization likely has most of the tools and data necessary for an effective COVID-19 response. Learn how to bring it all together._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

This is a data output from the GeoCrimeData project (http://geocrimedata.blogspot.com/). It contains Open Street Map data with derived measures of road integration (which can be used as a proxy for traffic volume). The data were derived from Open Street Map downloaded provided on the ShareGeo repository (e.g. for England: http://www.sharegeo.ac.uk/handle/10672/28) For more information about how the data was created, see: https://docs.google.com/document/d/16eNQKKxlLlh8H2Gayz86F68ZsTXUF72kJ1qiW2VUu7A/edit For other GeoCrimeData written material, see: https://docs.google.com/document/d/1gJ9B4BZNvL3w2DPfyv9vu-7P7_tnVf3F3H3rvygr1cc. Map data (c) OpenStreetMap contributors, CC-BY-SA This dataset was derived from OpenStreetMap. Access and use constraints are based on conditions set out in the OpenStreetMap Licence Agreement which can be found at http://wiki.openstreetmap.org/wiki/OpenStreetMap_License. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2011-11-10 and migrated to Edinburgh DataShare on 2017-02-21.

Introduction

Indonesia, located near the magnetic equator in Southeast and East Asia, is essential for studying ionospheric phenomena, particularly equatorial plasma bubbles (EPBs). The Indonesian Geospatial Information Agency (BIG) has deployed a network of Global Navigation Satellite System (GNSS) receivers as part of the Indonesia Continuously Operating Reference Stations (Ina-CORS) across this country. This network has enabled the creation of detailed ionospheric irregularities maps based on the Rate of Total Electron Content (TEC) Change Index (ROTI). These maps are crucial for understanding EPBs in Southeast and East Asia.

GNSS network and ROTI map generation

The Ina-CORS consists of over 300 GNSS receivers strategically placed across Indonesia (see attached figure "geographic map_receivers.jpg"), spanning from 95°E to 140°E and from 5°N to 10°S. These receivers continuously gather GNSS observable data with a time resolution of 30 seconds in a Receiver Independent Exchange (RINEX) file. This data is then processed to generate the ROTI maps from the magnetic equator to the southern low-latitude region in Southeast/East Asia.

The GNSS data in the RINEX file is processed to calculate the Total Electron Content (TEC) using the open software developed by Seemala (2023). The software can be found at https://seemala.blogspot.com/2020/12/gps-tec-program-version-3-for-rinex-3.html. ROTI is derived by measuring the standard deviation of the rate of change of TEC over a 5-minute interval (Pi et al., 1997). This index is a critical indicator of ionospheric irregularities with kilometers of spatial scales inside the EPBs.
Using ROTI data plotted at the Ionospheric Pierce Point (IPP) altitude of 350 km, 2-dimensional (2D) latitude-longitude ROTI maps are generated. The grid size of the ROTI map is 0.25° × 0.25°. The ROTI map is smoothed by a boxcar average of 5 × 5 grid data regarding geographic latitude and longitude. In the map, sunset and sunrise terminators at altitudes of 110 km (red curve), 350 km (green curve), and 650 km (black curve) are plotted. The ROTI map is generated at each interval of 10 minutes from 9:00 to 23:50 UT. The name file of the zipped map in one day indicates the year and day of the year. For example, s_2024122_map.rar indicates the maps on day 122 in 2024.

Purpose

Sharing GNSS data in RINEX files from the CORS could be strictly limited. Sharing the ROTI map derived from the CORS of Southeast Asian countries can be an alternative solution. This database aims to store the ROTI maps over Indonesia derived from GNSS data of the Ina-CORS network. The ROTI map database is also freely accessible and can be used for educational and scientific purposes. It is an academic/scientific resource and promotes a deeper understanding of EPB phenomena and their impact on navigation and communication systems. This database enables continuous monitoring and analysis of ionospheric conditions, particularly EPB occurrence. The database supports scientific research, enhances GNSS applications, and contributes to space weather forecasting by providing a high-resolution ROTI map. This ROTI map database has been developed to encourage research collaboration between researchers globally and in Indonesia.

Attribution

Users must appropriately credit the data source in this database in any publications, presentations, or products derived from it. When using the ROTI maps in this database, please cite the database. Users are also encouraged to collaborate with the ionospheric researchers in Indonesia. If the users need the numeric data for the ROTI maps, please get in touch with the email correspondence for this database.

References

Gopi K. Seemala (2023), Chapter 4 - Estimation of ionospheric total electron content (TEC) from GNSS observations, Editor(s): A.K. Singh, S. Tiwari, In Earth Observation, Atmospheric Remote Sensing, Elsevier, 2023, Pages 63 - 84, doi.org/10.1016/B978-0-323-99262-6.00022-5.

Pi, X., Mannucci, A. J., Lindqwister, U. J., and Ho, C. M. (1997), Monitoring of global ionospheric irregularities using the worldwide GPS network, Geophys. Res. Lett., 24, 2283–2286.

More Information
Feel free to reach out via email for more information. Your feedback is invaluable to us, and we encourage users to share their experiences and suggestions for research ideas and further improvements.
Correspondence: P. Abadi, Dr.; Researcher at Research Center for Climate and Atmosphere, BRIN; email: pray001[at]brin.go.id (replace "[at]" with "@").

Using the coronavirus infographic template in Business/Community Analyst Web (ArcGIS Blog).

The Coronavirus Response solution includes two ArcGIS Dashboards configurations to help public health agencies and officials quickly deploy and share their authoritative data (ArcGIS Blog). This post delivers a detailed look at the Coronavirus Response solution dashboards including their configuration, data loading options, and common configurations patterns._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

The H3 indexing system provides a standardized and high-performance grid for aggregating data at various levels. This layer contains the spatial representation of the IDs that cover the state of Utah. While it can be used for normal GIS point-in-polygon operations, you will get much better performance using the H3 API to assign a hex ID to your points, aggregating/analyzing your points based on ID, and then joining your aggregated data to this layer on the hex IDs.Our H3 blog post provides an overview of the system, an explanation of how we created these geometries, and an example analysis. Once the geometries were created in EPSG 4326 (WGS 84 lon/lat), they were projected to EPSG 26912 (UTM 12N) using the NAD_1983_To_WGS_1984_5 transformation.