{"results":[{"id":"doaj_Coordinate+di+valore%3A+la+numerazione+civica+al+centro+del+sistema+informativo+territoriale","title":"Coordinate di valore: la numerazione civica al centro del sistema informativo territoriale","authors":[{"name":"Jacopo Armini"},{"name":"Fabio Gianni"},{"name":"Stefano Niccolai"}],"abstract":"Georeferenced Access Points as a Strategic Node in the Evolution of Territorial Information Systems - This paper explores the strategic role of georeferenced access points and civic numbering as foundational components of advanced Territorial Information Systems (SIT) within Italian public administrations. The quality and consistency of georeferenced street and building numbers represent a fundamental component of territorial data infrastructures, enabling reliable integration between cadastral datasets, administrative services and emergency response systems.\n\nDrawing from the experience of LdP Progetti GIS — involving more than 130 municipalities across five regions — the article demonstrates how the integration of Accesses, Buildings and Street Toponyms enables an interoperable Web-GIS ecosystem supporting digital services, data governance and operational decision-making. Real case studies from the municipalities of Siena, Arezzo, Empoli and Pistoia illustrate concrete applications such as emergency management, fiscal intelligence (TARI compliance), housing planning and economic activity monitoring. The results highlight significant improvements in administrative efficiency, transparency and open-data availability, positioning geospatial infrastructures as a key enabler of digital transformation in the Public Sector.\n","source":"DOAJ","year":2025,"language":"","subjects":["Cartography","Cadastral mapping"],"url":"http://www.mediageo.it/ojs/index.php/GEOmedia/article/view/2120","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1080/17538947.2025.2517790","title":"Siamese text classification network (SiamTCN) for multi-class multi-label information extraction of typhoon disasters from social media data","authors":[{"name":"Zhi He"},{"name":"Chengle Zhou"},{"name":"Liwei Zou"},{"name":"Suhong Zhou"},{"name":"Xueqiang Zhao"}],"abstract":"Accurately monitoring disaster effects is a crucial task in relief efforts (e.g. typhoon rescue). Social media data plays a vital role in disaster management, while deep learning-based methods gain more attention in typhoon disaster research. However, most existing classification methods for typhoon disasters are limited to multi-class but single-label levels, contradicting the reality that a social media text may correspond to multiple types of disaster damage. This paper proposes a siamese text classification network (SiamTCN) for multi-class multi-label information extraction from typhoon disasters based on Sina Weibo data. The SiamTCN leverages a dual-path architecture with shared weights, utilizing multi-head self-attention and convolution to extract hidden features from texts. A novel multi-class multi-label contrastive loss function is proposed to optimize the model. Additionally, address information is extracted through address matching and check-in locations. The spatio-temporal characteristics provide actionable insights for disaster management, enabling timely and targeted responses to affected regions. Experiments are conducted on Sina Weibo texts collected from six typical typhoon land-falls in Chinese coastal regions from 2018 to 2023. The results demonstrate that the accuracy achieved by the proposed method is 0.9454, 0.9391, and 0.9422, respectively. The code for this paper is available at https://github.com/SiamTCN.","source":"DOAJ","year":2025,"language":"","subjects":["Mathematical geography. Cartography"],"doi":"10.1080/17538947.2025.2517790","url":"https://www.tandfonline.com/doi/10.1080/17538947.2025.2517790","is_open_access":true,"published_at":"","score":69},{"id":"doaj_10.1080/10095020.2024.2328100","title":"On China’s earth observation system: mission, vision and application","authors":[{"name":"Deren Li"},{"name":"Mi Wang"},{"name":"Haonan Guo"},{"name":"Wenjie Jin"}],"abstract":"China’s Earth Observation(EO) System has undergone significant development since the 1970s, as China has dedicated substantial efforts to advancing remote sensing technology. With fifty years of development, China has successfully narrowed the remote sensing technology gap with foreign countries through collaborative endeavors of the government and enterprises. At present, China has constructed a comprehensive EO system that has been proven indispensable for driving economic growth and facilitating sustainable development. This paper provides an overview of the development, missions, andapplications of China’s EO system, while also exploring future directions and technical trends of China’s EO system.","source":"DOAJ","year":2025,"language":"","subjects":["Mathematical geography. Cartography","Geodesy"],"doi":"10.1080/10095020.2024.2328100","url":"https://www.tandfonline.com/doi/10.1080/10095020.2024.2328100","is_open_access":true,"published_at":"","score":69},{"id":"arxiv_2406.02584","title":"A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty","authors":[{"name":"Kazuki Sakamoto"},{"name":"Connor T. Jerzak"},{"name":"Adel Daoud"}],"abstract":"Earth observation (EO) data such as satellite imagery can have far-reaching impacts on our understanding of the geography of poverty, especially when coupled with machine learning (ML) and computer vision. Early research used computer vision to predict living conditions in areas with limited data, but recent studies increasingly focus on causal analysis. Despite this shift, the use of EO-ML methods for causal inference lacks thorough documentation, and best practices are still developing. Through a comprehensive scoping review, we catalog the current literature on EO-ML methods in causal analysis. We synthesize five principal approaches to incorporating EO data in causal workflows: (1) outcome imputation for downstream causal analysis, (2) EO image deconfounding, (3) EO-based treatment effect heterogeneity, (4) EO-based transportability analysis, and (5) image-informed causal discovery. Building on these findings, we provide a detailed protocol guiding researchers in integrating EO data into causal analysis -- covering data requirements, computer vision model selection, and evaluation metrics. While our focus centers on health and living conditions outcomes, our protocol is adaptable to other sustainable development domains utilizing EO data.","source":"arXiv","year":2024,"language":"en","subjects":["cs.LG","cs.CV","stat.ME","stat.ML"],"url":"https://arxiv.org/abs/2406.02584","pdf_url":"https://arxiv.org/pdf/2406.02584","is_open_access":true,"published_at":"2024-05-30T20:48:10Z","score":68},{"id":"arxiv_2312.08827","title":"Artificial Intelligence and Human Geography","authors":[{"name":"Song Gao"}],"abstract":"This paper examines the recent advances and applications of AI in human geography especially the use of machine (deep) learning, including place representation and modeling, spatial analysis and predictive mapping, and urban planning and design. AI technologies have enabled deeper insights into complex human-environment interactions, contributing to more effective scientific exploration, understanding of social dynamics, and spatial decision-making. Furthermore, human geography offers crucial contributions to AI, particularly in context-aware model development, human-centered design, biases and ethical considerations, and data privacy. The synergy beween AI and human geography is essential for addressing global challenges like disaster resilience, poverty, and equitable resource access. This interdisciplinary collaboration between AI and geography will help advance the development of GeoAI and promise a better and sustainable world for all.","source":"arXiv","year":2023,"language":"en","subjects":["cs.AI"],"url":"https://arxiv.org/abs/2312.08827","pdf_url":"https://arxiv.org/pdf/2312.08827","is_open_access":true,"published_at":"2023-12-14T11:20:22Z","score":67},{"id":"arxiv_2312.07901","title":"Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethics","authors":[{"name":"Yuhao Kang"},{"name":"Song Gao"},{"name":"Robert E. Roth"}],"abstract":"The past decade has witnessed the rapid development of geospatial artificial intelligence (GeoAI) primarily due to the ground-breaking achievements in deep learning and machine learning. A growing number of scholars from cartography have demonstrated successfully that GeoAI can accelerate previously complex cartographic design tasks and even enable cartographic creativity in new ways. Despite the promise of GeoAI, researchers and practitioners have growing concerns about the ethical issues of GeoAI for cartography. In this paper, we conducted a systematic content analysis and narrative synthesis of research studies integrating GeoAI and cartography to summarize current research and development trends regarding the usage of GeoAI for cartographic design. Based on this review and synthesis, we first identify dimensions of GeoAI methods for cartography such as data sources, data formats, map evaluations, and six contemporary GeoAI models, each of which serves a variety of cartographic tasks. These models include decision trees, knowledge graph and semantic web technologies, deep convolutional neural networks, generative adversarial networks, graph neural networks, and reinforcement learning. Further, we summarize seven cartographic design applications where GeoAI have been effectively employed: generalization, symbolization, typography, map reading, map interpretation, map analysis, and map production. We also raise five potential ethical challenges that need to be addressed in the integration of GeoAI for cartography: commodification, responsibility, privacy, bias, and (together) transparency, explainability, and provenance. We conclude by identifying four potential research directions for future cartographic research with GeoAI: GeoAI-enabled active cartographic symbolism, human-in-the-loop GeoAI for cartography, GeoAI-based mapping-as-a-service, and generative GeoAI for cartography.","source":"arXiv","year":2023,"language":"en","subjects":["cs.HC","cs.AI","cs.GR"],"url":"https://arxiv.org/abs/2312.07901","pdf_url":"https://arxiv.org/pdf/2312.07901","is_open_access":true,"published_at":"2023-12-13T05:15:57Z","score":67},{"id":"arxiv_2303.04459","title":"Subfactors and Mathematical Physics","authors":[{"name":"David E. Evans"},{"name":"Yasuyuki Kawahigashi"}],"abstract":"This paper surveys the long-standing connections and impact between Vaughan Jones's theory of subfactors and various topics in mathematical physics, namely statistical mechanics,quantum field theory,quantum information and two-dimensional conformal field theory.","source":"arXiv","year":2023,"language":"en","subjects":["math-ph","math.OA","math.QA"],"doi":"10.1090/bull/1799","url":"https://arxiv.org/abs/2303.04459","pdf_url":"https://arxiv.org/pdf/2303.04459","is_open_access":true,"published_at":"2023-03-08T09:16:40Z","score":67},{"id":"doaj_10.1080/15481603.2022.2163575","title":"Spatiotemporal patterns of remotely sensed phenology and their response to climate change and topography in subtropical bamboo forests during 2001-2017: a case study in Zhejiang Province, China","authors":[{"name":"Xuejian Li"},{"name":"Huaqiang Du"},{"name":"Guomo Zhou"},{"name":"Fangjie Mao"},{"name":"Di’en Zhu"},{"name":"Meng Zhang"},{"name":"Yanxin Xu"},{"name":"Lv Zhou"},{"name":"Zihao Huang"}],"abstract":"Vegetation phenology has long been adapted to environmental change and is highly sensitive to climate change. Shifts in phenology also affect feedbacks of vegetation to environmental factors such as topography and climate by influencing spatiotemporal fluctuations in productivity, carbon fixation, and the carbon water cycle. However, there are limited studies which explores the combined effects of the climate and terrain on phenology. Bamboo forests exhibit the outstanding phenological phenomena and play an important role in maintaining global carbon balance in climate change. Therefore, the interaction mechanisms of climate and topography on bamboo forest phenology were analyzed in Zhejiang Province, China during 2001–2017. The partial least squares path model was applied to clarify the interplay between the climate and terrain impacts on phenology under land cover/use change. The results revealed that the average start date of the growing season (SOS) significantly advanced by 0.81 days annually, the end date of the growing season (EOS) was delayed by 0.27 days annually, and the length of the growing season (LOS) increased by 1.08 days annually. There were obvious spatial differences in the partial correlation coefficients between the climate factors and phenological metrics. Although the SOS, EOS and LOS were affected by different climatic factors, precipitation was the dominant factor. Due to the sensitivity of the SOS and EOS to precipitation, a 100 mm increase in regional annual precipitation would cause the average SOS to advance by 0.18 days and the EOS to be delayed by 0.12 days. Regarding the terrain factors affecting climate conditions, there were clear differences in the influences of different altitudes, slopes and aspect gradients on bamboo forest phenology. This study further showed that topographic factors mainly affected the interannual variations in phenological metrics under land cover/use change by affecting precipitation. This study clarified the spatial pattern of bamboo forest phenology and the interactive mechanisms between vegetative phenology and environmental conditions, as this information is crucial in assessing the impact of phenological change on the carbon sequestration potential of bamboo forests.","source":"DOAJ","year":2023,"language":"","subjects":["Mathematical geography. Cartography","Environmental sciences"],"doi":"10.1080/15481603.2022.2163575","url":"http://dx.doi.org/10.1080/15481603.2022.2163575","pdf_url":"http://dx.doi.org/10.1080/15481603.2022.2163575","is_open_access":true,"published_at":"","score":67},{"id":"crossref_10.24294/jgc.v5i2.1670","title":"Some thoughts on deep learning empowering cartography","authors":[{"name":"Tinghua Ai"}],"abstract":"Cartography includes two major tasks: map making and map application, which is inextricably linked to artificial intelligence technology. The cartographic expert system experienced the intelligent expression of symbolism. After the spatial optimization decision of behaviorism intelligent expression, cartography faces the combination of deep learning under connectionism to improve the intelligent level of cartography. This paper discusses three problems about the proposition of “deep learning + cartography”. One is the consistency between the deep learning method and the map space problem solving strategy, based on gradient descent, local correlation, feature reduction and non-linear nature that answer the feasibility of the combination of “deep learning + cartography”; the second is to analyze the challenges faced by the combination of cartography from its unique disciplinary characteristics and technical environment, involving the non-standard organization of map data, professional requirements for sample establishment, the integration of geometric and geographical features, as well as the inherent spatial scale of the map; thirdly, the entry points and specific methods for integrating map making and map application into deep learning are discussed respectively.","source":"CrossRef","year":2022,"language":"en","subjects":null,"doi":"10.24294/jgc.v5i2.1670","url":"https://doi.org/10.24294/jgc.v5i2.1670","pdf_url":"https://www.enpress-publisher.com/files/journals/26/articles/1670/public/1670-5514-2-PB.pdf","is_open_access":true,"citations":7,"published_at":"","score":66.21000000000001},{"id":"crossref_10.1007/978-3-031-09570-2_6","title":"Euler, Delisle and Cartography","authors":[{"name":"Athanase Papadopoulos"}],"abstract":"","source":"CrossRef","year":2022,"language":"en","subjects":null,"doi":"10.1007/978-3-031-09570-2_6","url":"https://doi.org/10.1007/978-3-031-09570-2_6","is_open_access":true,"citations":1,"published_at":"","score":66.03},{"id":"crossref_10.24294/jgc.v5i2.1675","title":"Maps and cartography: Progress in international critical cartography/GIS research","authors":[{"name":"Tao Wang"},{"name":"Yungang Liu"}],"abstract":"Map is the basic language of geography and an indispensable tool for spatial analysis. But for a long time, maps have been regarded as an objective and neutral scientific achievement. Inspired by critical geography, critical cartography/GIS came into being with the goal of clarifying the discourse embedded in cartographic practice. Power relationship challenges the untested assumption in map representation that is taken for granted. After more than 40 years of debate and running in, this research field has initially shown an outline, and critical cartography/GIS has roughly formed two research directions: the deconstruction path mainly starts from the identity of cartography subject and the process of map knowledge production, and analyzes the inseparable relationship between cartography and national governance and its internal power mechanism respectively; the construction path mainly relies on cooperative mapping and anti-mapping to realize the reproduction of map data. Domestic critical cartography/GIS research has just started, and it is necessary to continue to absorb the achievements of critical geography and carry out research in different historical periods. The deconstruction research of different types of maps also needs to strengthen the in-depth bridging between the construction path and the deconstruction path, and to be more open to the public. Impartial map application research, and actively apply the research results to social practice.","source":"CrossRef","year":2022,"language":"en","subjects":null,"doi":"10.24294/jgc.v5i2.1675","url":"https://doi.org/10.24294/jgc.v5i2.1675","pdf_url":"https://www.enpress-publisher.com/files/journals/26/articles/1675/public/1675-5524-3-PB.pdf","is_open_access":true,"citations":1,"published_at":"","score":66.03},{"id":"doaj_10.1080/15481603.2022.2158521","title":"Detecting annual anthropogenic encroachment on intertidal vegetation using full Landsat time-series in Fujian, China","authors":[{"name":"Wenting Wu"},{"name":"Chao Zhi"},{"name":"Chunpeng Chen"},{"name":"Bo Tian"},{"name":"Zuoqi Chen"},{"name":"Hua Su"}],"abstract":"Intertidal vegetation plays an essential role in habitat provision for waterbirds but suffers great losses due to human activities. However, it is challenging in tracking the human-driven loss and degradation of intertidal vegetation due to rapid urbanization in a high temporal resolution. In this study, a methodological framework based on full Landsat time-series (FLTS) is proposed to detect the year of change (YOC) of intertidal vegetation converted to impervious surfaces (ISs) and artificial ponds (APs), and the condition of the remaining intertidal vegetation was also assessed by FLTS, in the Fujian province, a subtropical coastal area lying in southeast China. The accuracies of the YOC detection of intertidal vegetation converted to IS and AP were 91.84% and 72.73%, with mean absolute errors of 0.26 and 1.06, respectively. The total areas of intertidal vegetation encroached by IS and AP were 31.68 km2 and 23.85 km2, respectively. Most ISs were developed later than 2010, and most APs were developed earlier than 2005, which are highly related to the implementation of local policies for economic development. The remaining intertidal vegetation in growing, stable, and degraded conditions were 43.05%, 56.38%, and 0.57%, respectively. The results indicated that areas of intertidal vegetation were reclaimed for anthropogenic uses at a considerable rate, although the intertidal vegetation still increased owing to natural development after the establishment of natural reserves. The study demonstrates that the FLTS has capacities in monitoring the dynamics in coastal zones solely for its dense earth observations.","source":"DOAJ","year":2022,"language":"","subjects":["Mathematical geography. Cartography","Environmental sciences"],"doi":"10.1080/15481603.2022.2158521","url":"http://dx.doi.org/10.1080/15481603.2022.2158521","pdf_url":"http://dx.doi.org/10.1080/15481603.2022.2158521","is_open_access":true,"published_at":"","score":66},{"id":"arxiv_2112.00970","title":"Narrative Cartography with Knowledge Graphs","authors":[{"name":"Gengchen Mai"},{"name":"Weiming Huang"},{"name":"Ling Cai"},{"name":"Rui Zhu"},{"name":"Ni Lao"}],"abstract":"Narrative cartography is a discipline which studies the interwoven nature of stories and maps. However, conventional geovisualization techniques of narratives often encounter several prominent challenges, including the data acquisition \u0026 integration challenge and the semantic challenge. To tackle these challenges, in this paper, we propose the idea of narrative cartography with knowledge graphs (KGs). Firstly, to tackle the data acquisition \u0026 integration challenge, we develop a set of KG-based GeoEnrichment toolboxes to allow users to search and retrieve relevant data from integrated cross-domain knowledge graphs for narrative mapping from within a GISystem. With the help of this tool, the retrieved data from KGs are directly materialized in a GIS format which is ready for spatial analysis and mapping. Two use cases - Magellan's expedition and World War II - are presented to show the effectiveness of this approach. In the meantime, several limitations are identified from this approach, such as data incompleteness, semantic incompatibility, and the semantic challenge in geovisualization. For the later two limitations, we propose a modular ontology for narrative cartography, which formalizes both the map content (Map Content Module) and the geovisualization process (Cartography Module). We demonstrate that, by representing both the map content and the geovisualization process in KGs (an ontology), we can realize both data reusability and map reproducibility for narrative cartography.","source":"arXiv","year":2021,"language":"en","subjects":["cs.AI","cs.HC"],"url":"https://arxiv.org/abs/2112.00970","pdf_url":"https://arxiv.org/pdf/2112.00970","is_open_access":true,"published_at":"2021-12-02T04:01:17Z","score":65},{"id":"doaj_A+L%C3%ADngua+Portuguesa+e+os+Trabalhos+Cient%C3%ADficos","title":"A Língua Portuguesa e os Trabalhos Científicos","authors":[{"name":"Paulo Cesar Rodrigues Borges"}],"abstract":"","source":"DOAJ","year":2020,"language":"","subjects":["Geography. Anthropology. Recreation","Cartography"],"url":"http://www.seer.ufu.br/index.php/revistabrasileiracartografia/article/view/52410","is_open_access":true,"published_at":"","score":64},{"id":"doaj_10.4000/mappemonde.3966","title":"Entre Rhin et Jura, des espaces frontaliers où émergent des dissymétries spatiales","authors":[{"name":"Alexandre Moine"},{"name":"Bernard Reitel"}],"abstract":"","source":"DOAJ","year":2020,"language":"","subjects":["Mathematical geography. Cartography"],"doi":"10.4000/mappemonde.3966","url":"https://journals.openedition.org/mappemonde/3966","is_open_access":true,"published_at":"","score":64},{"id":"arxiv_1907.08894","title":"The Surprising Accuracy of Benford's Law in Mathematics","authors":[{"name":"Zhaodong Cai"},{"name":"Matthew Faust"},{"name":"A. J. Hildebrand"},{"name":"Junxian Li"},{"name":"Yuan Zhang"}],"abstract":"Benford's law is an empirical ``law'' governing the frequency of leading digits in numerical data sets. Surprisingly, for mathematical sequences the predictions derived from it can be uncannily accurate. For example, among the first billion powers of $2$, exactly $301029995$ begin with digit 1, while the Benford prediction for this count is $10^9\\log_{10}2=301029995.66\\dots$. Similar ``perfect hits'' can be observed in other instances, such as the digit $1$ and $2$ counts for the first billion powers of $3$. We prove results that explain many, but not all, of these surprising accuracies, and we relate the observed behavior to classical results in Diophantine approximation as well as recent deep conjectures in this area.","source":"arXiv","year":2019,"language":"en","subjects":["math.PR","math.NT"],"doi":"10.1080/00029890.2020.1690387","url":"https://arxiv.org/abs/1907.08894","pdf_url":"https://arxiv.org/pdf/1907.08894","is_open_access":true,"published_at":"2019-07-21T02:05:12Z","score":63},{"id":"doaj_10.35424/rcarto.i92.444","title":"Atlas de la minería metálica en México","authors":[{"name":"Sol Pérez Jiménez"}],"abstract":"La minería es una actividad cada vez más importante de analizar, tanto por sus impactos ambientales como sociales. Sin embargo, la información sobre el despliegue territorial de esta actividad no es de dominio público. En respuesta a este pro- blema, en el trabajo presentamos la cartografía completa sobre minería metálica en México. Gracias al uso de Sistemas de Información Geográfica se logró la realiza- ción de un Atlas, en el cual se muestra el despliegue espacial de esta actividad a lo largo del territorio nacional. Presentamos principalmente la relación de proyectos y concesiones mineras con zonas importantes para el recurso hídrico, bajo alguna categoría de protección ambiental y territorios indígenas.","source":"DOAJ","year":2019,"language":"","subjects":["Maps","Cartography"],"doi":"10.35424/rcarto.i92.444","url":"https://revistasipgh.org/index.php/rcar/article/view/444","is_open_access":true,"published_at":"","score":63},{"id":"arxiv_1809.05031","title":"Exoplanet Terra Incognita","authors":[{"name":"Svetlana V. Berdyugina"},{"name":"Jeff R. Kuhn"},{"name":"Ruslan Belikov"},{"name":"Slava G. Turyshev"}],"abstract":"Exoplanet surface imaging, cartography and the search for exolife are the next frontiers of planetology and astrophysics. Here we present an over-view of ideas and techniques to resolve albedo features on exoplanetary surfaces. Albedo maps obtained in various spectral bands (similar to true-colour images) may reveal exoplanet terrains, geological history, life colonies, and even artificial structures of advanced civilizations.","source":"arXiv","year":2018,"language":"en","subjects":["astro-ph.IM","astro-ph.EP"],"doi":"10.1007/978-3-319-62849-3_20","url":"https://arxiv.org/abs/1809.05031","pdf_url":"https://arxiv.org/pdf/1809.05031","is_open_access":true,"published_at":"2018-09-04T20:02:44Z","score":62},{"id":"arxiv_1810.05047","title":"Aspects of the Mathematical Theory of Disordered Quantum Spin Chains","authors":[{"name":"Günter Stolz"}],"abstract":"We give an introduction into some aspects of the emerging mathematical theory of many-body localization (MBL) for disordered quantum spin chains. In particular, we discuss manifestations of MBL such as zero-velocity Lieb-Robinson bounds, quasi-locality of the time evolution of local observables, as well as exponential clustering and low entanglement of eigenstates. Explicit models where such properties have recently been verified are the XY and XXZ spin chain, in each case with disorder introduced in the form of a random exterior field. We introduce these models, state many of the available results and try to provide some general context. We discuss methods and ideas which enter the proofs and, in a few illustrative examples, include more detailed arguments. Finally, we also mention some directions for future mathematical work on MBL.","source":"arXiv","year":2018,"language":"en","subjects":["math-ph","math.SP"],"url":"https://arxiv.org/abs/1810.05047","pdf_url":"https://arxiv.org/pdf/1810.05047","is_open_access":true,"published_at":"2018-10-11T14:35:47Z","score":62},{"id":"arxiv_1812.11539","title":"Location-free Spectrum Cartography","authors":[{"name":"Yves Teganya"},{"name":"Daniel Romero"},{"name":"Luis Miguel Lopez Ramos"},{"name":"Baltasar Beferull-Lozano"}],"abstract":"Spectrum cartography constructs maps of metrics such as channel gain or received signal power across a geographic area of interest using spatially distributed sensor measurements. Applications of these maps include network planning, interference coordination, power control, localization, and cognitive radios to name a few. Since existing spectrum cartography techniques require accurate estimates of the sensor locations, their performance is drastically impaired by multipath affecting the positioning pilot signals, as occurs in indoor or dense urban scenarios. To overcome such a limitation, this paper introduces a novel paradigm for spectrum cartography, where estimation of spectral maps relies on features of these positioning signals rather than on location estimates. Specific learning algorithms are built upon this approach and offer a markedly improved estimation performance than existing approaches relying on localization, as demonstrated by simulation studies in indoor scenarios.","source":"arXiv","year":2018,"language":"en","subjects":["eess.SP"],"doi":"10.1109/TSP.2019.2923151","url":"https://arxiv.org/abs/1812.11539","pdf_url":"https://arxiv.org/pdf/1812.11539","is_open_access":true,"published_at":"2018-12-30T14:17:48Z","score":62}],"total":1337960,"page":1,"page_size":20,"sources":["CrossRef","arXiv","DOAJ"],"query":"Mathematical geography. Cartography"}