Mapping Project Research Articles

CHINESE STRATEGY "ONE BELT, ONE ROAD": THE ROLE OF PORTS IN ESTABLISHING GLOBAL LEADERSHIP

The “One Belt, One Road” initiative, which is considered the largest world project of the 21st century, is designed by its author to review the current system of international relations of China, make changes to its rules and conditions, and reorganize the world. is called upon to shape relations between major countries in a new way, to create a strategic project “Community with the destiny of humanity.” In the Chinese context, it is the “greatest common good and broadest platform of cooperation” that China offers to the global community. Therefore, the Chinese side is interested in maximizing the number of participants in the project aimed at “cooperation and joint victory”, and in ensuring that specific projects in it receive maximum support from the international community, especially from the international community. Coastal countries of the Belt and Road. For this reason, they spend time on various measures aimed at facilitating the implementation of the strategy. Willingness to address any of the potential mechanisms. The article shows, using specific examples, that the PRC, as one of the mobile instruments of these mechanisms, is mastering the construction of harbors and ports in the world, participates in their management, buys up their shares and directly buys them.

An open-source, QGIS-based solution for digital geological mapping: GEOL-QMAPS

Digital geological mapping has experienced significant growth over the past three decades due to the advent of commercial geographical information systems, advances in global positioning systems, and the availability of portable hand-held devices, such as mobile personal computers (PCs), smartphones, and tablets. Numerous software packages have been developed to collect, combine, organise, visualise, publish, and share field data with enhanced spatial accuracy and minimal post-field processing. However, many of these tools are not open-source or are not made available to the geoscientific community, remaining specific to given mapping projects or organisations.In this contribution we introduce GEOL-QMAPS, an open-source, QGIS-based solution promoting digital geological mapping in a harmonised, comprehensive and flexible way. It can be used in the field with a tablet PC or via the QGIS-based QField app on iOS or Android mobile devices, enabling synchronisation with desktop QGIS and the creation of field databases. Designed as a general solution, the GEOL-QMAPS solution consists of a QGIS field data entry template and a custom QGIS plugin, both available on free-access online repositories. The plugin allows for the adaptation of dictionaries (i.e., lists of attributes describing geological features), initially set to international nomenclatures, to the guidelines of different mapping projects. The solution also facilitates the loading and consultation of relevant legacy geodatasets (e.g., preexisting field data, geochemical, geophysical maps or punctual datasets). A fact map, created from field data collected across the Archean Sula-Kangari greenstone belt in Sierra Leone, demonstrates the solution's advantages in terms of post-field processing and raw field data sharing.

Two-stage terrestrial laser scan planning framework for geometric measurement of civil infrastructures

Terrestrial laser scanning plays a crucial role in measuring geometry shapes of civil infrastructures. However, its practical application often encounters challenges such as insufficient model quality and acquisition efficiency. To address these issues, this study proposes a two-stage planning scheme that optimises both scan positioning and single-station scan parameters. Recognising the need to consider both structures and background objects, UAV scanning is employed to capture a three-dimensional point cloud model of the actual scenario. A visibility analysis method based on spherical projection is proposed to enhance computational efficiency of virtual scan simulation. Additionally, an improved particle swarm algorithm is utilised to optimise the scan positioning. During onsite deployment, the scanner’s pose is measured to align structural components with the scanner’s coordinate system, allowing for automated scanning based on occupied angular ranges. The effectiveness of this method is demonstrated through geometry measurements of a small outdoor structure and a suspension bridge.

Landed Planetary Sensor Model Support with the Community Sensor Model

This note describes recent work to develop landed planetary sensor model support conforming to the widely adopted Community Sensor Model (CSM) standard. We describe the CSM specification and its use in the planetary sciences, introduce the test sensors carried aboard the Mars Science Laboratory Curiosity Rover, and describe the engineering research requirements fulfilled. Ultimately, we demonstrate use of a CSM framing sensor model for the NavCam and MastCam instruments including stereo terrain extraction and map projection using the NASA Ames Stereo Pipeline over a multi-day traverse and multi-image correspondence identification needed as an input to stereophotogrammetric block bundle adjustment using the USGS-maintained Integrated Software for Imagers and Spectrometers library.

National risk assessment of Italian school buildings: The MARS project experience

Strategic buildings, such as schools, play a crucial role in civil society. They are essential not only for the well-being of communities but also for their significance during the emergency and recovery phases following an earthquake. Reliable risk assessment is a powerful tool for implementing effective mitigation strategies. While considerable work has been already done in the literature to develop fragility curves and risk studies for residential buildings, there remains a noticeable gap in addressing risk assessment for school portfolios. As part of the 2019–2021 MARS (Seismic Risk MAps) project, funded by the Italian Civil Protection Department and involving the ReLUIS consortium along with the EUCENTRE foundation, a specific task was dedicated to evaluating seismic risk for the Italian school buildings. In this context, eight research units combined their expertise to develop a consensus-based vulnerability model, known as the “School-MARS model”. This model integrates fragility curves based on various approaches (i.e. empirical, mechanical-analytical, mechanical-numerical and hybrid) and is tailored to archetypes representative of the Italian school buildings. The main goal of the paper is outlining the methodology used to define the “School-MARS vulnerability model”. Moreover, the paper demonstrates the application of the latter for performing intensity-based and time-based risk analyses. Specifically, the results are presented in terms of damage distribution and usability ratings expected for the entire stock of Italian school building. Notably, these results indicate that approximately 26 % of Reinforced Concrete (RC) buildings and 31 % of Unreinforced Masonry (URM) structures may become unusable due to potential earthquakes expected in the next 50 years.

EEG spatial projection and an improved 3D CNN with channel spatiotemporal joint attention mechanism for emotion recognition

EEG spatial projection and an improved 3D CNN with channel spatiotemporal joint attention mechanism for emotion recognition

A Machine Learning Approach to Well-Being in Late Childhood and Early Adolescence: The Children’s Worlds Data Case

Explaining what leads to higher or lower levels of subjective well-being (SWB) in childhood and adolescence is one of the cornerstones within this field of studies, since it can lead to the development of more focused preventive and promotion actions. Although many indicators of SWB have been identified, selecting one over the other to obtain a reasonably short list poses a challenge, given that models are particularly sensitive to the indicators considered.Two Machine Learning (ML) algorithms, one based on Extreme Gradient Boosting and Random Forest and the other on Lineal Regression, were applied to 77 indicators included in the 3rd wave of the Children’s Worlds project and then compared. ExtremeGradient Boosting outperforms the other two, while Lineal Regression outperforms Random Forest. Moreover, the Extreme Gradient Boosting algorithm was used to compare models for each of the 35 participating countries with that of the pooled sample on the basis of responses from 93,349 children and adolescents collected through a representative sampling and belonging to the 10 and 12-year-olds age groups. Large differences were detected by country with regard to the importance of these 77 indicators in explaining the scores for the five-item-version of the CWSWBS5 (Children’s Worlds Subjective Well-Being Scale). The process followed highlights the greater capacity of some ML techniques in providing models with higher explanatory power and less error, and in more clearly differentiating between the contributions of the different indicators to explain children’s and adolescents’ SWB. This finding is useful when it comes to designing shorter but more reliable questionnaires (a selection of 29 indicators were used in this case).

Urban growth simulation and scenario projection for the arid regions using heuristic cellular automata

Arid regions tend to form compact urban patterns that have significant implications on urban growth and future urban patterns. Spatial simulation and projection using cellular automata (CA)-based models are important for achieving sustainable urban development in arid regions. In response to this need, we developed a new CA model (GSA-CA) using the gravitational search algorithm (GSA) to capture and project urban growth patterns in arid regions. We calibrated the GSA-CA model for the arid city of Urumqi in Northwest China from 2000 to 2010, and validated the model from 2010 to 2020, and then applied to project urban growth in 2040. The results indicated that the optimal performance of the model was achieved when the fraction of the population was 0.5. GSA-CA achieved an overall accuracy of 98.42% and a figure of merit (FOM) of 43.03% for the year 2010, and an overall accuracy of 98.52% with FOM of 37.64% for 2020. The results of the study help to adjust urban planning and development policies. The developed model has the potential to be employed in simulating urban growth and future scenarios in arid regions globally, including Northwest China and Africa.

3D textured mesh scene data fusion method considering multiple scales and resolutions

ABSTRACT The fusion of 3D textured mesh scene data can effectively and seamlessly integrate multiple spatially related 3D geographical scene models into larger and more comprehensive datasets. Existing methods usually have different degrees of texture distortion and unreduced texture problems in the splicing area, and these methods do not consider the current situation of Level of Detail(LoD) data organisation in the 3D textured mesh model. We propose a 3D textured mesh scene data fusion method considering multiple scales and resolutions. First, seamless extraction of splicing areas was achieved based on spatial relationship constraints and orthogonal inverse projection principles. Second, the sparse scene structure concept was employed to generate sparse summary scene images. Finally, a dual simplification operator for both mesh and texture was proposed to construct multi-resolution 3D textured mesh models, simultaneously reconstructing triangular facets and textures within the splicing regions. We used multiple 3D textured mesh data constructed from aerial obliques to conduct data fusion experimental verification. The results indicate that our method exhibits minimal texture distortion during grid reconstruction in splicing areas and model simplification, effectively reducing the amount of simplified texture data. Additionally, our method adeptly addresses multilevel detailed 3D textured mesh models, demonstrating good feasibility and advancement.

A critical review of cognition and perception research Involving map projections

A critical review of cognition and perception research Involving map projections

Ephemeral mapping of changing perception of place through creative practice

ABSTRACT One's perception of place is in constant flux, shaped by experience, memories, and feelings over time. Time and perception of place are inextricably linked, where the transient nature of time and one's perception of place affects one's understanding of the world. This transience challenges cartography. This paper reports on the outcomes of a year-long mapping project (A Walk in the Park), where the effects of time on perception of place could be seen through recording personal experiences of being in the park. The outcomes of these experiences were used to develop a new model of reflective practice which is called the Interdisciplinary Model of Creative Practice. This model and an accompanying tool, the brief, was employed to create ephemeral mapping prototypes from records of my experiences and ideas about time and perception of place from the scholarly literature. The model builds a creative mapping process by drawing from and weaving together the perspectives of scientific cartography, design, and artistic expression. Using the example of ephemeral mapping, this paper shows how one can use this Interdisciplinary Model of Creative Practice, describing the approach for other researchers, cartographers, designers, or artists who might utilise the model and tools offered in this paper for their own creative practice.

SOHO SWAN Lyα Models Supporting LRO LAMP: 2008–2023

The Lunar Reconnaissance Orbiter Lyman-Alpha Mapping Project (LAMP) has been mapping the Moon since its launch in 2009. Faint ultraviolet illumination of the lunar dark side includes light from stars and from hydrogen Lyα emissions, mostly attributed to sunlight scattered by hydrogen atoms near the Sun with a smaller contribution from the whole Galaxy. Models of the lunar illumination by time-dependent Lyα photons have allowed the LAMP team to map polar shadowed craters suspected of harboring water ice and other volatiles. This paper describes the model that provides daily all-sky Lyα maps tuned by comparisons with all-sky Lyα maps from the SOlar and Heliospheric Observatory Solar Wind ANisotropy Experiment stationed at the Sun–Earth L1 point.

LiDAR‐based place recognition for mobile robots in ground/water surface multiple scenes

AbstractLiDAR‐based 3D place recognition is an essential component of simultaneous localization and mapping systems in multi‐scene robotic applications. However, extracting discriminative and generalizable global descriptors of point clouds is still an open issue due to the insufficient use of the information contained in the LiDAR scans in existing approaches. In this paper, we propose a novel spatial‐temporal point cloud encoding network for multiple scenes, dubbed STM‐Net, to fully fuse the multi‐view spatial information and temporal information of LiDAR point clouds. Specifically, we first develop a spatial feature encoding module consisting of the single‐view transformer and multi‐view transformer. The module learns the correlation both within a single view and between two views by utilizing the multi‐layer range images generated by spherical projection and multi‐layer bird's eye view images generated by top‐down projection. Then in the temporal feature encoding module, we exploit the temporal transformer to mine the temporal information in the sequential point clouds, and a NetVLAD layer is applied to aggregate features and generate sub‐descriptors. Furthermore, we use a GeM pooling layer to fuse more information along the time dimension for the final global descriptors. Extensive experiments conducted on unmanned ground/surface vehicles with different LiDAR configurations indicate that our method (1) achieves superior place recognition performance than state‐of‐the‐art algorithms, (2) generalizes well to diverse sceneries, (3) is robust to viewpoint changes, (4) can operate in real‐time, demonstrating the effectiveness and satisfactory capability of the proposed approach and highlighting its promising applications in multi‐scene place recognition tasks.

Predicted future range expansion of a small carnivore: swift fox in North America

ContextSmall carnivores are declining globally due to a complex suite of threats. Conservation of these species requires an understanding of their distributions and potential responses to future land-use and climate change.ObjectivesWe modelled species-environment relationships of swift fox (Vulpes velox), a species of concern across their range. We developed spatial projections of current and future distribution to aid in conservation planning.MethodsWe assembled swift fox occurrence data from managers and community science sources to develop ensemble distribution models. In addition to landscape and climatic predictors, we developed a model of red fox distribution to represent effects of competition. We forecasted spatial predictions into the year 2070 under two climate change scenarios representing high (SSP 5–8.5) and low (SSP 1–2.6) emissions scenarios.ResultsPercent cover by grassland, mean annual precipitation, and minimum temperature of the coldest quarter were the three most important variables for swift fox distribution. Current suitable habitat for swift fox extends across 16 North American states and provinces. Future projections of swift fox distribution suggest an overall increase in area of swift fox suitable habitat under both emissions scenarios of > 56.9%, though patterns of gain and loss vary spatially.ConclusionsThe expansion of suitable habitat in future scenarios reflects swift fox adaptability to multiple land uses in a period following multi-organizational conservation efforts. Our spatial projections can be used in conservation planning and can serve as a case study of a small carnivore species likely to recover under future change scenarios provided that threats are addressed and landscape-scale conservation efforts continue.

Beading relations: Reimagining, remapping, and remembering through The Lake Nipissing Beading Project

ABSTRACT As members of the Lake Nipissing Beading Project Collective, we reflect on a community-beaded map project that evolved from a partnership between Nipissing University, Nipissing First Nation, and Dokis First Nation, rooted in the traditional lands of the Nbisiing Nishnaabeg on Robinson Huron Treaty (1850) territory. The Lake Nipissing Beading Project (LNBP) emerged in 2020 as a gesture of community care in response to the socio-spatial challenges of the global COVID-19 pandemic. The traveling beaded map installation reimagines, remaps, and remembers Lake Nipissing and surrounding watersheds through a collaborative process rooted in relationality and reciprocity. Critically situating and subsequently “taking back” provincial geospatial imagery, the project presents one attempt to decolonize geographical tools through creative intervention that combines storytelling practices of beading and countermapping. We reflect on the multi-layered histories enlivened through project activities, including those of our community-academic partnerships. We discuss what it means to recognize the beaded map as a living relation and carrier of living stories, re-orienting spatial knowledges toward an intentional ethics of care and community-led stewardship. In doing so the project re-centers Nbisiing Nishnaabeg relationships to, with, and through the lake.

Seeing culture from below: Counter‐curating, counter‐ethnography, counter‐mapping

AbstractThis paper reflects on our mapping and database project britishmonumentsrelatedtoslavery.net, the first and currently most complete account of British representational public monuments related to British transatlantic slavery. It reproduces our headline findings and presents some new maps of the data. However, our main focus in this paper is on placing our project in a wider context of emergent practices and methods that inspired us. First, we note the exponential historical emergence of three connected critical, grassroots ‘counter’ practices across different institutions: of mapping, curating, and ethnography. We frame their critical commonality in their ‘counter’ approach to the nexus of what Benedict Anderson identified as three key ‘institutions of power … census, map, museum’, which have been central to conceiving and executing policy. Second, we prospectively identify some of the common structural causes that underlie this emergent assembly of instituent knowledge‐making practices from below.

On the acceptance by code reviewers of candidate security patches suggested by Automated Program Repair tools

ObjectiveWe investigated whether (possibly wrong) security patches suggested by Automated Program Repairs (APR) for real world projects are recognized by human reviewers. We also investigated whether knowing that a patch was produced by an allegedly specialized tool does change the decision of human reviewers.MethodWe perform an experiment with n=72\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$n= 72$$\\end{document} Master students in Computer Science. In the first phase, using a balanced design, we propose to human reviewers a combination of patches proposed by APR tools for different vulnerabilities and ask reviewers to adopt or reject the proposed patches. In the second phase, we tell participants that some of the proposed patches were generated by security-specialized tools (even if the tool was actually a ‘normal’ APR tool) and measure whether the human reviewers would change their decision to adopt or reject a patch.ResultsIt is easier to identify wrong patches than correct patches, and correct patches are not confused with partially correct patches. Also patches from APR Security tools are adopted more often than patches suggested by generic APR tools but there is not enough evidence to verify if ‘bogus’ security claims are distinguishable from ‘true security’ claims. Finally, the number of switches to the patches suggested by security tool is significantly higher after the security information is revealed irrespective of correctness.LimitationsThe experiment was conducted in an academic setting, and focused on a limited sample of popular APR tools and popular vulnerability types.

Sexual and reproductive health and rights, HIV and migration in southern Africa: A rapid review.

Migration, a prevalent global phenomenon, significantly impacts health, particularly in low- to middle-income countries. This article presents a rapid review aimed at mapping projects, lessons and policies concerning sexual and reproductive health (SRH), HIV and migration in southern Africa. Utilising a population-concept-context framework, the review focuses on understanding the scope, nature and extent of interventions, identifying lessons learnt, and assessing existing policies and strategies. A comprehensive search strategy and screening process resulted in 19 studies and reports for inclusion. The review highlighted diverse projects across southern Africa, addressing SRH and HIV among migrants, refugees and asylum seekers. Projects ranged from peer-education interventions to community-based referral systems, aiming to improve knowledge, access and outcomes related to SRH and HIV. The lessons learnt emphasised the importance of community involvement, healthcare worker (HCW) training and inclusive policies to address migrants' diverse needs effectively. Additionally, projects facilitated cross-border collaborations and policy integration, enhancing access to SRH-HIV services and migrant health rights. Despite these efforts, challenges persist, including gender-based violence, financial barriers and xenophobic attitudes among HCWs. Limited access to comprehensive sexuality education and social protection for migrants underscores the need for further policy development and implementation. Nevertheless, existing policies, such as Botswana's inclusive HIV treatment policy and South Africa's National Strategic Plan for HIV, TB and STIs, demonstrate steps towards ensuring migrants' rights to healthcare.

The SAGA acetyltransferase module is required for the maintenance of MAF and MYC oncogenic gene expression programs in multiple myeloma.

Despite recent advances in therapeutic treatments, multiple myeloma (MM) remains an incurable malignancy. Epigenetic factors contribute to the initiation, progression, relapse, and clonal heterogeneity in MM, but our knowledge on epigenetic mechanisms underlying MM development is far from complete. The SAGA complex serves as a coactivator in transcription and catalyzes acetylation and deubiquitylation. Analyses of data sets in the Cancer Dependency Map Project revealed that many SAGA components are selective dependencies in MM. To define SAGA-specific functions, we focused on ADA2B, the only subunit in the lysine acetyltransferase (KAT) module that specifically functions in SAGA. Integration of RNA sequencing (RNA-seq), assay for transposase-accessible chromatin with sequencing (ATAC-seq), and cleavage under targets and release using nuclease assay (CUT&RUN) results identified pathways directly regulated by ADA2B including MTORC1 signaling and oncogenic programs driven by MYC, E2F, and MM-specific MAF. We discovered that ADA2B is recruited to MAF and MYC gene targets, and that MAF shares a majority of its targets with MYC in MM cells. Furthermore, we found that the SANT domain of ADA2B is required for interaction with both GCN5 and PCAF acetyltransferases, incorporation into SAGA, and ADA2B protein stability. Our findings uncover previously unknown SAGA KAT module-dependent mechanisms controlling MM cell growth, revealing a vulnerability that might be exploited for future development of MM therapy.

Annual Minimum Snow/Ice Extent Variations over Greenland since 2000: Ice Sheet, Peripheral Areas, and Relation to Ice Mass Balance

Abstract A novel satellite image processing technique was utilized to produce an annual time series of the minimum snow/ice (MSI) extent over the entire Greenland landmass for the period 2000–22. The information was derived from the Moderate Resolution Imaging Spectroradiometer 10-day clear-sky composites over the April–September period. The data products were generated from 250-m swath imagery. The annual aggregates were downscaled to a 150-m grid for consistency with data on margins of Greenland available from the Geological Survey of Denmark and Greenland (GEUS) and the Greenland Ice Mapping Project. Interannual variations in the MSI extent were derived and analyzed for each of the seven major glacier basins in Greenland split into the main ice sheet, represented by a static map, and the peripheral areas from which all variations originated. Four of the seven regions demonstrated statistically significant negative trends in the MSI extent. The entire Greenland area also showed a declining snow/ice extent although this was not statistically significant. The region-wide and peripheral snow/ice extent varied from a minimum of 1.807 × 106 km2 (1.449 × 105 km2 for peripheral areas) observed in 2012 to a maximum of 1.860 × 106 km2 (1.977 × 105 km2) observed in 2006 with an average value of 1.829 × 106 km2 (1.664 × 105 km2). The derived MSI variations showed a statistically significant correlation with the near-surface 2-m air temperature from the ERA5-Land reanalysis and Greenland ice mass balance from GEUS for all catchments, with correlation coefficients for the entire area equal to −0.74 and 0.53, respectively. The mapping of many peripheral glaciers and ice shelves included in the glaciology databases and utilized for the IPCC reporting is not always consistent with our results and requires improvement, especially in coastal areas.