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\"A stunning geographical exploration of our world through 50 unique maps. Modern satellite and geographical technology has enabled the world to be researched in new and incredible detail. From measuring species diversity to monitoring land shifts, our physical and sociological world is mapped like never before. Includes 50 specially commissioned maps that examine our world in a beautifully visual and fascinating way. Alastair Bonnett accompanies each map with a vivid essay that provides detailed insight into how the planet has changed and what it may look like in the future. From examining new deserts and charting airspace, to revealing emerging lands and measuring each continent's natural treasures, each map showcases an important part of our world's history, sociology and of course, geography\"-- Provided by publisher.

Allied health comprises multiple professional groups including dietetics, medical radiation practitioners, occupational therapists, optometrists and psychologists. Different to medical and nursing, Allied health are often organized in discipline specific departments and allocate budgets within these to provide services to a range of clinical areas. Little is known of how managers of allied health go about allocating these resources, the factors they consider when making these decisions, and the sources of information they rely upon. The purpose of this study was to identify the key factors that allied health consider when making resource allocation decisions and the sources of information they are based upon. Four forums were conducted each consisting of case studies, a large group discussion and two hypothetical scenarios to elicit data. A thematic content analysis commenced during post-forum discussions of key factors by forum facilitators. These factors were then presented to an expert working party for further discussion and refinement. Transcripts were generated of all data recordings and a detailed thematic analysis was undertaken by one author to ensure coded data matched the initial thematic analysis. Twelve factors affecting the decision-making of allied health managers and clinicians were identified. One of these factors was disendorsed by the expert working party. The 11 remaining factors can be considered to be key decision-making principles that should be consistently applied to resource allocation. These principles were clustered into three overarching themes of readiness, impact and appropriateness. Understanding these principles now means further research can be completed to more effectively integrate research evidence into health policy and service delivery, create partnerships among policy-makers, managers, service providers and researchers, and to provide support to answer difficult questions that policy-makers, managers and service providers face.

PurposeThe present study was designed to explore the major challenges being faced by the Indian nurses' pre-post pandemic period affecting their well-being (WB) and identify factors that motivated them to perform their service wholeheartedly during the pandemic. The study also tries to bridge the gap in the study area by providing various ways that can help maintain the WB of health care professionals.Design/methodology/approachA descriptive exploratory qualitative design involving semi-structured interviews was conducted during December–January 2021 with 30 nurses from hospitals in Punjab Qualitative and thematic data analysis technique were adopted. In addition, a literature review was also conducted to study the various factors that affect the WB of health care professionals.FindingsThere are various themes and subthemes that were identified by the health care professionals, such as (1) psychological WB, (2) social WB and (3) workplace WB and (4) key motivators. This research work has identified various managerial implications that can play a huge rolein strengthening the healthcare sector of the entire world economy, paving the way toward the better WB of healthcare professionals (HCPs).Originality/valueFirstly, it is probably the only study that is performed on nursing staff to evaluate their personal experiences during crucial times. It has successfully compared the factors affecting WB pre- and post-pandemic, leading to the emergence of many new factors that have originated due to the pandemic and are the cause of the poor WB of HCPs (Figures 2, 4). Secondly, it is the only study that targeted only those nurses who have provided their services in both scenarios. Finally, the study has been a pioneer in identifying the importance of maintaining the WB of HCPs at hospitals.

This work presents a comparison between a global and a national land cover map, namely the ESA WorldCover 2020 (WC20) and the Portuguese use/land cover map (Carta de Uso e Ocupação do Solo 2018) (COS18). Such a comparison is relevant given the current amount of publicly available LULC products (either national or global) where such comparative studies enable a better understanding regarding different sets of LULC information and their production, focus and characteristics, especially when comparing authoritative maps built by national mapping agencies and global land cover focused products. Moreover, this comparison is also aimed at complementing the global validation report released with the WC20 product, which focused on global and continental level accuracy assessments, with no additional information for specific countries. The maps were compared by following a framework composed by four steps: (1) class nomenclature harmonization, (2) computing cross-tabulation matrices between WC20 and the Portuguese map, (3) determining the area occupied by each harmonized class in each data source, and (4) visual comparison between the maps to illustrate their differences focusing on Portuguese landscape details. Some of the differences were due to the different minimum mapping unit ofCOS18 and WC20, different nomenclatures and focuses on either land use or land cover. Overall, the results show that while WC20 detail is able to distinguish small occurrences of artificial surfaces and grasslands within an urban environment, WC20 is often not able to distinguish sparse/individual trees from the neighboring cover, which is a common occurrence in the Portuguese landscape. While selecting a map, users should be aware that differences between maps can have a range of causes, such as scale, temporal reference, nomenclature and errors.

The increasing vulnerability of historic city centres to climate change and environmental risks demands the use of high-resolution digital tools for urban planning and heritage protection. In this context, the Digital City & River Twin (DiC&RT) framework is being tested in the historic centre of Florence to examine data quality and interoperability within Urban Digital Twins. The analysis focuses on the geometric and semantic representation of buildings, integrating MMS surveys and UAV photogrammetry. It addresses critical issues related to building density, visual occlusion, and data heterogeneity, proposing multi-technological solutions for more accurate modeling. The thematic component is geared toward multi-risk analysis, with particular emphasis on hydraulic and seismic scenarios, supported by controlled vocabularies and interoperable data structures such as CityGML. The case study highlights how data quality, consistency, and granularity are key requirements for the effective operation of urban Digital Twins in resilience management and heritage conservation.

The sequence diagram in the atlas shall represent the latest macro overview achievements of the country, closely focusing on the major national development strategies, and select topics directly related to economic construction and people's life, including thematic information such as sea area, railway, highway, population, tourism, forest, nature reserve, surface coverage, urban agglomeration and strategic layout. According to the selected thematic content, the relevant thematic information is collected and analyzed, and the available thematic information data is extracted through data normalization and spatial processing, and then spatially matched with the thematic geographic base map to form a thematic map database. This paper studies how to deal with the thematic data in the sequence diagram and how to build the database, including thematic data analysis, thematic data processing, thematic database construction and quality requirements.

A remote sensing and Geographic Information System-based study has been carried out for landslide susceptibility zonation in the Chamoli region, part of Garhwal Himalayas. Logistic regression has been applied to correlate the presence of landslides with independent physical factors including slope, aspect, relative relief, land use/cover, lithology, lineament, and drainage density. Coefficients of the categories of each factor have been obtained and used to assess the landslide probability value to ultimately categorize the area into various landslide susceptibility zones; very low, low, moderate, high, and very high. The results show that 71.13% of observed landslides fall in 21.96% of predicted very high and high susceptibility zone, which in fact should be the case. Furthermore, lineament first buffer category (0-500 m) and the east and south aspects are the most influential in causing landslides in the region.

There is worldwide recognition of the potential increase of digital health inequity due to the increased digitalization of health care systems. Digital health skill development may prevent disparities in eHealth access and use. In the Dutch context, the public library has started to facilitate support in digital health skill development by offering public eHealth courses. Understanding the motivations of people to seek support may help to further develop this type of public service. This is a qualitative study on the motivations of citizens participating in an eHealth course offered by public libraries. The study aimed to explore why citizens were motivated to seek nonformal support for eHealth use. A total of 20 semistructured interviews with participants who participated in an eHealth course were conducted in 7 public libraries across the Netherlands. The interviews were conducted between April and June 2022. Purposive sampling took place in the public library during the eHealth course. The interviews covered participants' motivations, attitudes, and experiences with eHealth use and their motivations to seek help with eHealth use. Interviews were audio-recorded and transcribed. Themes were identified via a comprehensive thematic data analysis. The participants were 51 to 82 years of age (average 73.5, SD 6.6 y) and 14 (70%) participants were female. Three motivational themes were identified: (1) adapting to an increasingly digital society, (2) sense of urgency facilitated by prior experience in health care, and (3) a need for self-reliance and autonomy. Additionally, participants expressed a general desire for social contact and lifelong learning. A lack of adequate informal support by friends and family for digital skills and positive experiences with formal support from public libraries stimulated the participants to seek formal support for eHealth use. We show that the participants had a feeling of urgency that sparked their motivation to seek nonformal support in the public library. Motivations to participate in the eHealth course stemmed from the need to adapt to the digital society, being a patient or a caregiver, or the need or wish to be independent from others. Participants of the study were mainly older female adults who had native language abilities, up-to-date digital devices, and time. It is likely that other populations experience similar feelings of urgency but have other support needs. Future research should explore the needs and attitudes of nonusers and other users of digital health toward seeking support in eHealth access and use.

A systematic solution to the one status map (core area) of Beijing - housing thematic data (hereinafter referred to as \"the one status map (core area) of housing thematic data\") aims to provide housing thematic data with full coverage, high precision, dynamic update and attribute integration, and has the characteristics of \"accurate data, fast update, complete attributes and multiple classifications\". This paper makes full use of relevant standards and specifications, combined with internal specifications related to data processing and quality evaluation. Based on the analysis of the characteristics and technical requirements of the data, this paper puts forward a quality evaluation system suitable for the data, including quality elements, quality measurement and quality evaluation, so as to provide technical guarantee for ensuring the quality of achievements.

Groundwater is being pumped extensively from the coastal part of the Arani and Koratalai River Basin, Tamil Nadu, India for irrigation and water supply to the city of Chennai. The objective of this study is to delineate the groundwater potential zones of this area using Remote Sensing (RS) and Geographic Information System (GIS) techniques. Weighted overlay analysis was used to demarcate the groundwater potential zones. Various thematic layers such as geology, geomorphology, soil, lineament density, drainage density, rainfall and landuse maps were prepared. The geological map was prepared using a Geological Survey of India (GSI) district resource map. Indian Remote Sensing System Linear Imaging Self-scanning Sensor III (IRS-1D LISS III) satellite imagery was used to prepare the geomorphology, soil, lineament density, drainage density, and landuse maps. The final groundwater potential map was prepared by assigning appropriate weightage to different thematic maps and adding them to the final groundwater potential map. The derived groundwater potential map was overlaid with the groundwater level and location of well fields for validation. The map prepared will help in systematic and proper development of groundwater resources in this area to meet the growing water requirements of the city of Chennai.