Healthcare accessibility is among the most critical challenges affecting millions, reflecting profound geospatial disparities in Latin America. This study aims to evaluate healthcare service geospatial accessibility patterns, comparing the geospatial coverage between public and private healthcare facilities in Santiago district, Panama. We first apply the Two-Step Floating Catchment Area (2SFCA) method and its extended variant (E2SFCA) to calculate geospatial accessibility indexes at public and private healthcare facilities. We then use Getis–Ord Gi* and Local Moran geospatial statistical analysis to identify significant clusters of high and low accessibility. The results reveal that public healthcare facilities still offer higher geospatial coverage than private healthcare facilities, with higher geospatial accessibility in the central zone and lower geospatial accessibility in the south zone of Santiago. These findings highlighted the location of new healthcare facilities in zones with lower geospatial accessibility coverage. This study provides reproducible methodological tools for other geographical contexts. It also contributes to improving decision-making and formulating public policies to reduce spatial disparities in healthcare services in Panama and other Caribbean and Latin American countries.

Small Island Developing States (SIDS) are highly exposed to disaster risk events that frequently overwhelm their capacity to generate and share spatial information to reduce human–economic losses. The Spatial Data Infrastructure (SDI) has been widely implemented to support information sharing and management in different domains. In this paper, we aim to identify critical factors to enhance SDI performance to facilitate Disaster Risk Management (DRM) in SIDS. We make use of a three-round Delphi survey and Kendall W coefficient to assess consensus among 28 key international experts in SDI, surveying and DRM. Our results illustrate strong experts’ consensus on identifying a list of 23 most critical factors. We found that people and policy factors matter the most. The insights reported here would assist decision-makers to design roadmaps to enhance sharing of spatial knowledge to build more resilient SIDS and to support their achievement of the Sustainable Development Goals.

In Latin American cities, violence against women (VAW) remains critical for public health, well-being, and safety. This phenomenon is influenced by social, political, and environmental drivers. VAW is not randomly distributed; built environments—geography, ambient population, and street networks—influence criminal through spatial dependence across multiple scales. Despite growing interest in the spatial distribution of crime, few studies have explicitly explored the spatiotemporal dimensions of VAW in Monterrey. This study explores spatio-temporal patterns of VAW in Monterrey, Mexico, based on the analysis of 27,036 georeferenced and verified emergency reports from the 911 system (2019–2022). The study applies kernel density estimation (KDE), the Getis–Ord G_i* statistics, the Local Moran I index, and space–time cube analysis to identify spatial and temporal clusters of VAW. The results show concentrations of incidents during nighttime and weekends, particularly in northern and eastern sectors in Monterrey. The analysis reveals clusters in areas of high socioeconomic vulnerability. VAW in Monterrey follows predictable and cyclical patterns. These insights contribute to the design of tailored public policies and actions to improve women’s health, well-being, and safety in critical zones and timeframes. The findings also enhance international understanding of gender-based spatial violence patterns in the rapidly urbanizing contexts of the Global South.

In recent years, a growing number of stakeholders have been taking part in the generation and delivery of geospatial information and services to reduce the impact of severe natural disasters on the communities. This is mainly due to a huge demand for accurate, current and relevant knowledge about the impacted areas for a wide range of applications in risk-informed decision makings. The aim of this paper is to identify users’ requirements for emergency mapping team (EMT) operations in the Dominican Republic (DR). An online survey was applied to collect data from key users involved in the Inter-Institutional Geospatial Information Team in DR. Our findings suggest a set of users’ requirements for EMT operations: (1) standardization; (2) establishing and maintaining a spatial data infrastructure; (3) partnership; (4) effective communication among stakeholders; and (5) capacity building. A better understanding of the users’ requirements and the associated information workflows will lead to a superior level of readiness for EMT operations in DR. This knowledge will support future studies/practices at the local and national levels in the Caribbean region, which share similar challenges in terms of natural hazards and development issues.

Small Island Developing States (SIDS) increasingly face natural hazards that overwhelm their capacity to generate and share spatial-information to reduce human–economic losses. Under such circumstances, the emergency mapping team (EMT) enables a common operational picture of the impacted communities. This paper aims to identify user requirements for EMT operations in the Caribbean and, based on those findings, improve the level of preparedness to deliver information-services that contribute to disaster risk management in the region. The results are built upon a case-study and a survey targeted for technical personnel responsible for emergency mapping in three Caribbean states: the Dominican Republic, Saint Lucia and Sint Maarten. Our findings revealed five user requirements for EMT operations: institutional arrangements, implementation of a Cloud-based spatial data infrastructure, linking community stakeholders, partnerships and capacity building. This study provides the foundation for future EMT developments in the Caribbean region and in others SIDS with similar settings in the world.

The Dominican Republic (DR) is a small island developing state (SIDS) highly exposed to disaster-risk phenomena, such as earthquakes, hurricanes, etc. The Spatial Data Infrastructure (SDI) enables coordination and sharing of spatial information and services from multiple sources, while emergency mapping operations (EMO) help decision-makers build a common operational picture (COP) of impacted communities. Assessment of future scenarios for SDI implementation to meet emergency mapping goals requires the consideration of a wide range of stakeholders with different objectives. We make use of multi-actor multi-criteria analysis (MAMCA) in the case study of DR to evaluate government, private sector, emergency mapping team (EMT), and academia perspectives of three governance scenarios (Going-Concern, Increasing-Hierarchy, and Increasing-Network) for SDI implementation. Our findings suggest that the ‘Increasing Network’ scenario is the most suitable for SDI implementation. A well-coordinated inter-organizational network through a SDI should empower more stakeholders to participate in EMO. This work highlighted the increase of public-private partnerships as a key criterion to share costs and efforts to effectively support emergency mapping tasks. Findings reported herein could assist decision-makers in designing roadmaps to enhance SDI implementation in the DR. This knowledge will also support future studies/practices in other SIDS, which share similar natural hazards and development issues.