Geospatial big data present a new set of challenges and opportunities for cartographic researchers in technical, methodological and artistic realms. New computational and technical paradigms for cartography are accompanying the rise of geospatial big data. Additionally, the art and science of cartography needs to focus its contemporary efforts on work that connects to outside disciplines and is grounded in problems that are important to humankind and its sustainability. Following the development of position papers and a collaborative workshop to craft consensus around key topics, this article presents a new cartographic research agenda focused on making maps that matter using geospatial big data. This agenda provides both longterm challenges that require significant attention and short-term opportunities that we believe could be addressed in more concentrated studies.

Abstract:The integration of user-generated content made in a collaborative environment is being increasingly considered a valuable input to reference maps, even from official map agencies such as USGS and Ordnance Survey. In Brazil, decades of lack of investment has resulted in a topographic map coverage that is both outdated and unequally distributed throughout the territory. This paper aims to analyze the spatial distribution of updates of OpenStreetMap in rural and urban areas in the country to understand the patterns of user updates and its correlation with other economic and developmental variables. This analysis will contribute to generating the knowledge needed in order to consider the use of this data as part of a reference layer of the National Spatial Database Infrastructure as well to design strategies to encourage user action in specific areas.

Resumo O mapeamento de referência urbano, necessário ao planejamento urbano e ao Cadastro Técnico Multifinalitário nos municípios, é oneroso. Sua produção tem competência compartilhada entre União, Estados e municípios, e apenas em 2016 foram lançadas normas englobando esse tipo de mapeamento no Brasil. Por isso, é preciso buscar alternativas para ajudar na produção e na atualização do mapeamento de referência nas cidades. O mapeamento colaborativo por meio de plataformas, como o OpenStreetMap, produz e disponibiliza dados geoespaciais atualizados e abertos na internet, apresentando-se como uma alternativa relevante para ser utilizada em conjunto com o mapeamento de referência e outras geotecnologias na gestão urbana dos municípios brasileiros. Este artigo descreve as principais considerações relativas à integração do mapeamento colaborativo com o mapeamento de referência urbano e apresenta um teste no qual foram integrados dados do OpenStreetMap aos dados oficiais do Instituto de Pesquisa e Planejamento Urbano de Curitiba (IPPUC), por meio da compatibilização semântica dos dados em conformidade com as normas nacionais. Como resultados, foram produzidos um mapa híbrido derivado da integração entre ambos os mapeamentos, no qual foi observado um aumento de aproximadamente 90% no número de feições, e uma síntese com as potencialidades e os desafios relativos à integração.

<p><strong>Abstract.</strong> This paper addresses a historical issue in Brazil that is that topographic mapping has been performed without application of the theories of cartography to local reality. With the lack of research on this subject, the rules and standards for topographic mapping in Brazil are based on solutions that have been developed in other countries. Even though topographic maps are not a frequent topic of cartographic research, as cited by Kent (2009), when the methods, techniques, and standards are imported from other countries, they are established by considering different natural, rural, and urban landscapes; different histories of land use and occupation; and different cultures. Consequently, it is essential to develop studies that address the theoretical issues of topographic mapping and to verify their suitability to Brazilian reality, considering the geographical aspects that must be represented in topographic mapping. Such a foundation of scientific knowledge is essential to producing solutions that are adapted to the environmental conditions and needs of Brazilian users and society.</p>

This manuscript, in essay form, is a contribution to the systematization of information and reflections on the scenario of integrative community therapy in Brazil, from its origin in the 1980s to the present day, presenting its trajectory, achievements, challenges and perspectives regarding the current socio-political and health scenario. The objective is to historically contextualize the ICT in Brazil, focusing on the ICT scenario, its epistemology, modus operandi and formation, its relationship with social determinants, perspectives such as Integrative and Complementary Health Practice inserted in the Brazilian public health system and repercussions of its implementation at the time of COVID-19. It is a theoretical-conceptual study, through bibliographic analysis and the authors' empirical experience with the topic. Adalberto de Paula Barreto is the creator of ICT and the authors are researchers, community therapists, health professionals, lecturers and members of the Brazilian Association of Integrative Community Therapy (ABRATECOM).

During coursework and research projects, several geospatial algorithms are produced and mentioned by authors in written documents. However, these products often remain unavailable after the end of the projects but could be reused by third parties, providing an improvement in spatial data infrastructure (SDI), reproducibility and open science. Because SDI relies on the sharing of geographic resources, this article focuses on the study of geospatial algorithms. There are studies concerning the use of academic spatial data infrastructure (ASDI) as a solution to academic resources, but these rarely comprise the publication of algorithms and are mainly aimed at improving systems through functional requirements without considering the requirements of academic users. This study was carried out with the purpose of supporting the sharing of algorithms in an ASDI (www.idea.ufpr.br) created at the Federal University of Paraná, Brazil. Thus, this study aims to characterize the behaviors of academic users regarding their use, storage, sharing and development of geospatial algorithms. For this purpose, a questionnaire was published and received 196 valid responses. The results showed that compared to other interviewees, academics use, develop and share fewer spatial algorithms and have more concerns about citations and fewer concerns about profit. However, these findings do not imply that these users are less productive but rather that their work is different and may or may not rely on the use of algorithms. Furthermore, the results showed more active sharing when authors work with their own algorithms, which could be due to increased security related to the license information, representing important information to be included in geoportals.

Cartographic data represents the main and basic component of a Spatial Data Infrastructure. SDI, in turn, has the role of supporting, with strategic information, the most diverse political and economic actions, in the management and planning of public actions. Thus, this work aims, initially, to present an overview of cartography in Brazil through the analysis of the evolution of topographic mapping coverage in the country. For each of the main scales used, a coverage map was created. The analyzes reflect three different periods (until 1997, between 1998 and 2007, after 2008) in order to relate how and to what degree, the creation of Brazilian National SDI (in 2008) had an impact on the mapping production in the country. Given the current panorama, as a final objective, this paper aims at to present proposals to leverage the coverage of this reference data. One of them is the use of new data sources such as Volunteered Geographic Information, especially in areas with outdated mapping or without mapping, as has already been used in some countries. Another proposition is to share the responsibility of mapping through partnerships with other levels of government, which would result the decentralization and the optimization of cartographic production.

Abstract. This article presents two applications developed using Jupyter Notebook in the Google Colab, combining several Python libraries that enable an interactive environment to query, manipulate, analyse, and visualise spatial data. The first application is from an educational context within the MAPFOR project, aiming to elaborate an interactive map of the spatial distributions of teachers with higher education degrees or pedagogical complementation per vacancies in higher education courses. The Jupyter solutions were applied in MAPFOR to better communicate within the research team, mainly in the development area. The second application is a framework to analyse and visualise collaborative emotional mapping data in urban mobility, where the emotions were collected and represented through emojis. The computational notebook was applied in this emotional mapping to enable the interaction of users, without a SQL background, with spatial data stored in a database through widgets to analyse and visualise emotional spatial data. We developed these different contexts in a Jupyter Notebook to practice the FAIR principles, promote the Open Science movement, and Open Geospatial Resources. Finally, we aim to demonstrate the potential of using a mix of open geospatial technologies for generating solutions that disseminate geographic information.