Статті в журналах: "Priority maps"

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Chelazzi, L., J. E to inova, R. Calletti, E. Lo Gerfo, I. Sani, C. Della Libera, and E. Santandrea. "Altering Spatial Priority Maps via Reward-Based Learning." Journal of Neuroscience 34, no. 25 (June 18, 2014): 8594–604. http://dx.doi.org/10.1523/jneurosci.0277-14.2014.

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Sachan, Abhishek, Kushal Khanna, Shobhit Srivastava, and Patil A.B. "Priority Based Traffic Signal System using Google Maps." International Journal of Electronics and Communication Engineering 7, no. 01 (January 25, 2020): 20–24. http://dx.doi.org/10.14445/23488549/ijece-v7i1p104.

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Schultz, Bill, Dan Brockington, Eric A. Coleman, Ida Djenontin, Harry W. Fischer, Forrest Fleischman, Prakash Kashwan, et al. "Recognizing the equity implications of restoration priority maps." Environmental Research Letters 17, no. 11 (October 25, 2022): 114019. http://dx.doi.org/10.1088/1748-9326/ac9918.

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Abstract A growing number of studies seek to identify global priority areas for conservation and restoration. These studies often produce maps that highlight the benefits of concentrating such activity in the tropics. However, the potential equity implications of using these prioritization exercises to guide global policy are less often explored and articulated. We highlight those equity issues by examining a widely publicized restoration priority map as an illustrative case. This map is based on a prioritization analysis that sought to identify places where restoration of agricultural land might provide the greatest biodiversity and carbon sequestration benefits at the lowest cost. First, we calculate the proportion of agricultural land in countries around the world that the map classifies as a top 15% restoration priority. A regression analysis shows that this map prioritizes restoration in countries where displacing agriculture may be most detrimental to livelihoods: countries that are poorer, more populated, more economically unequal, less food secure, and that employ more people in agriculture. Second, we show through another regression analysis that a similar pattern appears sub-nationally within the tropics: 5 km × 5 km parcels of land in the tropics that are less economically developed or more populated are more likely to be top 15% restoration priorities. In other words, equity concerns persist at a subnational scale even after putting aside comparisons between the tropics and the Global North. Restorative activity may be beneficial or harmful to local livelihoods depending on its conceptualization, implementation, and management. Our findings underline a need for prioritization exercises to better attend to the risks of concentrating potentially negative livelihood impacts in vulnerable regions. We join other scholars calling for greater integration of social data into restoration science.

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Anantrasirichai, Nantheera, Katherine A. J. Daniels, Jeremy F. Burn, Iain D. Gilchrist, and David R. Bull. "Fixation Prediction and Visual Priority Maps for Biped Locomotion." IEEE Transactions on Cybernetics 48, no. 8 (August 2018): 2294–306. http://dx.doi.org/10.1109/tcyb.2017.2734946.

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Rooney, Ann Hayward, and Jane Ledwin. "A PRIORITY APPROACH TO REGIONAL ENVIRONMENTAL SENSITIVITY MAPPING." International Oil Spill Conference Proceedings 1989, no. 1 (February 1, 1989): 463–71. http://dx.doi.org/10.7901/2169-3358-1989-1-463.

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ABSTRACT Identifying and mapping especially sensitive environments in coastal areas is essential to protecting these environments from the effects of oil spills. Accordingly, “hot spot” habitats and resources in the Chesapeake Bay, one of the nation's major estuarine ecosystems, have been illuminated in a unique series of four seasonal maps. Incorporating these maps into contingency planning and spill response efforts not only speeds the identification of priority areas requiring protection from oil spills, but also enhances the effort itself.

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Alvi, Atif. "Priority Based Technique and Vehicle Location in VANET Using Google Maps." Lahore Garrison University Research Journal of Computer Science and Information Technology 6, no. 04 (October 15, 2022): 7–15. http://dx.doi.org/10.54692/lgurjcsit.2022.0604375.

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Google Maps is becoming popular in digital maps because of its user friendly human computerinteraction and easy to use Application Programming Interface (API) as a plugin to onlineapplications. Vehicular Ad-hoc Network (VANET) is conceptualizing moving cars as nodes ina dynamic road network. VANETs help manage the traffic through communication messagesamong the vehicles. In huge traffic loads too many messages create network congestion andstarvation. The basic objective of this research is to augment conventional VANET by addingmessage prioritization methodology, i.e. messages for top priority vehicles will be transmittedprior to the ones with lower priority. To this end, an algorithm has been developed andimplemented in a web application that incorporates Google maps for getting and displayingvehicle information. The proposed algorithm has been evaluated using experiments forthroughput and congestion avoidance in the network.

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Sydenham, Markus A. K., Katrine Eldegard, Zander S. Venter, Marianne Evju, J. Åström, and Graciela M. Rusch. "Priority maps for pollinator habitat enhancement schemes in semi-natural grasslands." Landscape and Urban Planning 220 (April 2022): 104354. http://dx.doi.org/10.1016/j.landurbplan.2022.104354.

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Thayer, Daniel, and Tommy Sprague. "Attentional modulation of feature-selective priority maps across human visual cortices." Journal of Vision 20, no. 11 (October 20, 2020): 1604. http://dx.doi.org/10.1167/jov.20.11.1604.

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Ramirez-Rosado, I. J., C. Monteiro, E. Garcia-Garrido, V. Miranda, L. A. Fernandez-Jimenez, and P. J. Zorzano-Santamaria. "Negotiation Aid System to Define Priority Maps for Wind Farm Development." IEEE Transactions on Power Systems 20, no. 2 (May 2005): 618–26. http://dx.doi.org/10.1109/tpwrs.2005.846261.

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Zhang, Shuyang, Jiaoyang Li, Taoan Huang, Sven Koenig, and Bistra Dilkina. "Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding." Proceedings of the International Symposium on Combinatorial Search 15, no. 1 (July 17, 2022): 208–16. http://dx.doi.org/10.1609/socs.v15i1.21769.

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Prioritized Planning (PP) is a fast and popular framework for solving Multi-Agent Path Finding, but its solution quality depends heavily on the predetermined priority ordering of the agents. Current PP algorithms use either greedy policies or random assignments to determine a total priority ordering, but none of them dominates the others in terms of the success rate and solution quality (measured by the sum-of-costs). We propose a machine-learning (ML) framework to learn a good priority ordering for PP. We develop two models, namely ML-T, which is trained on a total priority ordering, and ML-P, which is trained on a partial priority ordering. We propose to boost the effectiveness of PP by further applying stochastic ranking and random restarts. The results show that our ML-guided PP algorithms outperform the existing PP algorithms in success rate, runtime, and solution quality on small maps in most cases and are competitive with them on large maps despite the difficulty of collecting training data on these maps.

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Sapountzis, Panagiotis, Sofia Paneri, and Georgia G. Gregoriou. "Distinct roles of prefrontal and parietal areas in the encoding of attentional priority." Proceedings of the National Academy of Sciences 115, no. 37 (August 28, 2018): E8755—E8764. http://dx.doi.org/10.1073/pnas.1804643115.

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When searching for an object in a crowded scene, information about the similarity of stimuli to the target object is thought to be encoded in spatial priority maps, which are subsequently used to guide shifts of attention and gaze to likely targets. Two key cortical areas that have been described as holding priority maps are the frontal eye field (FEF) and the lateral intraparietal area (LIP). However, little is known about their distinct contributions in priority encoding. Here, we compared neuronal responses in FEF and LIP during free-viewing visual search. Although saccade selection signals emerged earlier in FEF, information about the target emerged at similar latencies in distinct populations within the two areas. Notably, however, effects in FEF were more pronounced. Moreover, LIP neurons encoded the similarity of stimuli to the target independent of saccade selection, whereas in FEF, encoding of target similarity was strongly modulated by saccade selection. Taken together, our findings suggest hierarchical processing of saccade selection signals and parallel processing of feature-based attention signals within the parietofrontal network with FEF having a more prominent role in priority encoding. Furthermore, they suggest discrete roles of FEF and LIP in the construction of priority maps.

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12

Sprague, Thomas C., Sirawaj Itthipuripat, Vy A. Vo, and John T. Serences. "Dissociable signatures of visual salience and behavioral relevance across attentional priority maps in human cortex." Journal of Neurophysiology 119, no. 6 (June 1, 2018): 2153–65. http://dx.doi.org/10.1152/jn.00059.2018.

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Computational models posit that visual attention is guided by activity within spatial maps that index the image-computable salience and the behavioral relevance of objects in the scene. These spatial maps are theorized to be instantiated as activation patterns across a series of retinotopic visual regions in occipital, parietal, and frontal cortex. Whereas previous research has identified sensitivity to either the behavioral relevance or the image-computable salience of different scene elements, the simultaneous influence of these factors on neural “attentional priority maps” in human cortex is not well understood. We tested the hypothesis that visual salience and behavioral relevance independently impact the activation profile across retinotopically organized cortical regions by quantifying attentional priority maps measured in human brains using functional MRI while participants attended one of two differentially salient stimuli. We found that the topography of activation in priority maps, as reflected in the modulation of region-level patterns of population activity, independently indexed the physical salience and behavioral relevance of each scene element. Moreover, salience strongly impacted activation patterns in early visual areas, whereas later visual areas were dominated by relevance. This suggests that prioritizing spatial locations relies on distributed neural codes containing graded representations of salience and relevance across the visual hierarchy.NEW & NOTEWORTHY We tested a theory which supposes that neural systems represent scene elements according to both their salience and their relevance in a series of “priority maps” by measuring functional MRI activation patterns across human brains and reconstructing spatial maps of the visual scene. We found that different regions indexed either the salience or the relevance of scene items, but not their interaction, suggesting an evolving representation of salience and relevance across different visual areas.

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13

Dasgupta, Susmita, Mainul Huq, Istiak Sobhan, and David Wheeler. "Sea-Level Rise and Species Conservation in Bangladesh’s Sundarbans Region." Journal of Management and Sustainability 8, no. 1 (February 4, 2018): 1. http://dx.doi.org/10.5539/jms.v8n1p1.

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This paper develops a methodology for identifying high-priority species conservation areas in Bangladesh’s Sundarbans region, an UNESCO World Heritage site, considering both species vulnerability and the likelihood of inundation by future sea-level rise (SLR). Our species vulnerability analysis develops a composite spatial vulnerability indicator based on total species counts, endangered species counts, endemicity, and four measures of extinction risk from the high-resolution range maps and conservation status assessments for 378 terrestrial vertebrate species provided by IUCN Bangladesh, IUCN International and BirdLife International.We extend the analysis by identifying areas where protection will fail if they are inundated by SLR in this century. We project SLR by 2100 at 120 cm, near the upper bound of the current consensus, and develop digital maps of the Sundarbans region that incorporate alternative assumptions about interim subsidence (8 cm, 35 cm) and deposition of alluvial sediment (0 cm, 40 cm). We overlay these maps with our composite species vulnerability map to produce SLR-risk-adjusted maps for priority assessment.While it would be highly desirable to protect all species of Sundarbans, resource scarcity may necessitate focusing protection on the highest-priority areas. Our analysis indicates that the highest-priority conservation status should be assigned to Sundarbans core region that has both high species vulnerability and the lowest likelihood of inundation in this century. We also identify other critical areas in four echelons of descending priority, depending upon their likelihood of inundation by sea-level rise. We hope that our methodology will contribute to cost-effective conservation management in the Sundarbans region.

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14

Hosseinkhani, Jila, and Chris Joslin. "A Biologically Inspired Saliency Priority Extraction Using Bayesian Framework." International Journal of Multimedia Data Engineering and Management 10, no. 2 (April 2019): 1–20. http://dx.doi.org/10.4018/ijmdem.2019040101.

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In this article, the authors used saliency detection for video streaming problem to be able to transmit regions of video frames in a ranked manner based on their importance. The authors designed an empirically-based study to investigate bottom-up features to achieve a ranking system stating the saliency priority. We introduced a gradual saliency detection model using a Bayesian framework for static scenes under conditions that we had no cognitive bias. To extract color saliency, we used a new feature contrast in Lab color space as well as a k-nearest neighbor search based on k-d tree search technique to assign a ranking system into different colors according to our empirical study. To find the salient textured regions we employed contrast-based Gabor energy features and then we added a new feature as intensity variance map. We merged different feature maps and classified saliency maps using a Naive Bayesian Network to prioritize the saliency across a frame. The main goal of this work is to create the ability to assign a saliency priority for the entirety of a video frame rather than simply extracting a salient area which is widely performed.

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Attri, Dharam, Vijay Trivedi, Jyoti Sati, and Mohan Nautiyal. "Status of Priority based Subsidized MAP Species for Cultivation and Conservation in Chamoli District, Uttarakhand Himalaya." Journal of Non Timber Forest Products 23, no. 4 (December 1, 2016): 181–89. http://dx.doi.org/10.54207/bsmps2000-2016-315l7l.

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Cultivation of Medicinal and Aromatic Plants (MAPs) is considered as one of the most important tool for conservation of wild MAP species, ensure regular supply of raw material to pharmaceutical industries and also plays crucial role in the upliftment of socio-economic status of local farmers for their livelihood security. Cultivation of MAPs seems to be a viable solution for raising the economy of the farmers of Uttarakhand Himalaya as MAPs can be grown successfully in stressful and adverse conditions. To know the actual status of MAPs cultivation sector, with an aim to gather information about the initiatives and policies launched by government for the promotion of cultivation, prioritized species for cultivation and economic benefit of farmers through cultivation. The study revealed that various organizations were engaged in the promotion of MAPs cultivation and a number of policies were launched by the government such as subsidies to farmers on 26 prioritized species, free planting material, training, nursery development course, registration and certification of farmers, etc.

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Wijaya, Indra Dharma, Muhammad Afif Hendrawan, and Nurcahya Nania Anabela. "Pengelompokan Obyek Wisata Potensial dengan Self Organizing Maps (SOM) dan Sum Additive Weighting (SAW)." JISKA (Jurnal Informatika Sunan Kalijaga) 8, no. 1 (January 30, 2023): 1–9. http://dx.doi.org/10.14421/jiska.2023.8.1.1-9.

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Probolinggo Regency is an area in East Java that has tourism potential. The condition is seen from the many tourists visiting various attractions in Probolinggo Regency. To increase the number of tourist visits, it is necessary to develop tourism objects. However, not all attractions in Probolinggo Regency can be developed at the same time. This is due to budget limitations for tourism development. Therefore, it is necessary to have a grouping of attractions according to the priority level of development. In this study, researchers utilized Self Organizing Maps (SOM) and Sum Additive Weighing (SAW) methods to group attractions based on their development priority levels. SOM is used to determine groups of tourist objects based on the parameters of the number of domestic tourists, the number of foreign tourists, infrastructure, and the number of attractions. Furthermore, SAW is used to find out which group has the highest priority among other groups based on these parameters. To measure the quality of the resulting group, researchers used the value of the silhouette coefficient. Results from the grouping process resulted in three groups. Group C1 consists of 4 attractions, group C2 consists of 20 attractions, and group C3 consists of 10 attractions. The value of the silhouette coefficient also holds a good value, especially in group 1, which is 0.75006. Furthermore, based on the ranking of groups by the SAW method, the C1 group is the group of tourist attractions with the highest priority for development.

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Sprague, Thomas C., and John T. Serences. "Attention modulates spatial priority maps in the human occipital, parietal and frontal cortices." Nature Neuroscience 16, no. 12 (November 10, 2013): 1879–87. http://dx.doi.org/10.1038/nn.3574.

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Ferrante, Oscar, Alessia Patacca, Valeria Di Caro, Chiara Della Libera, Elisa Santandrea, and Leonardo Chelazzi. "Altering spatial priority maps via statistical learning of target selection and distractor filtering." Cortex 102 (May 2018): 67–95. http://dx.doi.org/10.1016/j.cortex.2017.09.027.

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Auat Cheein, Fernando A., Fernando M. Lobo Pereira, Fernando di Sciascio, and Ricardo Carelli. "Autonomous Simultaneous Localization and Mapping driven by Monte Carlo uncertainty maps-based navigation." Knowledge Engineering Review 28, no. 1 (November 2, 2012): 35–57. http://dx.doi.org/10.1017/s0269888912000276.

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AbstractThis paper addresses the problem of implementing a Simultaneous Localization and Mapping (SLAM) algorithm combined with a non-reactive controller (such as trajectory following or path following). A general study showing the advantages of using predictors to avoid mapping inconsistences in autonomous SLAM architectures is presented. In addition, this paper presents a priority-based uncertainty map construction method of the environment by a mobile robot when executing a SLAM algorithm. The SLAM algorithm is implemented with an extended Kalman filter (EKF) and extracts corners (convex and concave) and lines (associated with walls) from the surrounding environment. A navigation approach directs the robot motion to the regions of the environment with the higher uncertainty and the higher priority. The uncertainty of a region is specified by a probability characterization computed at the corresponding representative points. These points are obtained by a Monte Carlo experiment and their probability is estimated by the sum of Gaussians method, avoiding the time-consuming map-gridding procedure. The priority is determined by the frame in which the uncertainty region was detected (either local or global to the vehicle's pose). The mobile robot has a non-reactive trajectory following controller implemented on it to drive the vehicle to the uncertainty points. SLAM real-time experiments in real environment, navigation examples, uncertainty maps constructions along with algorithm strategies and architectures are also included in this work.

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Ernesto Quezada and, Luis, Pedro Ivan Palominos, Rosa E. Galleguillos, and Alexis H. Olmedo. "A method for generating strategy maps using ANP." Journal of Manufacturing Technology Management 25, no. 8 (September 30, 2014): 1090–104. http://dx.doi.org/10.1108/jmtm-06-2014-0081.

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Purpose – The purpose of this paper is to present a method for identifying causal relationships in a strategy map. Design/methodology/approach – A strategy map is a visual representation of the strategy of a company, which includes the strategic objectives of a company and the cause-effect relationships between them. Its network structure facilitates its representation as an analytic network process (ANP) model. The proposed method starts with a network with all possible relationships and then it deletes those relationships, which are not important. To do this, it uses the techniques of the ANP approach. Findings – It was found that ANP is a good tool for modelling a strategy map and for identifying the important relationships of a strategy map. A study case of a manufacturing is shown to illustrate how the proposed method can be used in practice. Practical implications – Normally, the cause-effect relationships between strategic objectives are generated in a subjective way. Even this way of working is widely accepted in practice, some studied have shown that the declared relationships are not necessarily valid. The proposed method provides a quantitative tool to establish the relationships between strategic objectives, which are obtained using a method (ANP) that has a strong conceptual base. This is an indication that the strategy map obtained represents in a better way the strategy of the company. Originality/value – ANP is a methodology which is used to estimate the priority of nodes with in a network. In this work ANP is used to estimate the priority of the arcs of the network. The results of application in a company represent a good indication that the method may be implemented in other manufacturing companies.

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De Almeida, Franciane Carla, Eduarda Martiniano De Oliveira Silveira, Fausto Weimar Acerbí Junior, Luciano Cavalcante De Jesus França, Inácio Thomaz Bueno, and Breno José Oliveira Terra. "ANÁLISE MULTICRITÉRIO NA DEFINIÇÃO DE ÁREAS PRIORITÁRIAS PARA RECUPERAÇÃO FLORESTAL NA BACIA DO RIO DOCE, EM MINAS GERAIS." Nativa 8, no. 1 (February 5, 2020): 81. http://dx.doi.org/10.31413/nativa.v8i1.8130.

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A Floresta Atlântica é um dos ecossistemas mais fragmentado e explorado. Como atividades de restauração florestal são dispendiosas, a Análise de Decisão Multicritério (ADMC) integrada ao SIG (Sistema de Informações Geográficas) fornece um satisfatório suporte de decisão espacial para produção de mapas de forma eficiente. O colapso de uma barragem de mineração em áreas de floresta Atlântica, resultou na destruição de comunidades por rejeitos de mineração na bacia hidrográfica do Rio Doce. Assim, o objetivo deste estudo foi mapear áreas prioritárias para recuperação florestal na bacia do Rio Doce, Minas Gerais. Utilizou-se a ADMC baseada em SIG, e associada ao método do Processo Analítico Hierárquico (AHP) e Combinação Linear Ponderada (CLP). Cinco fatores foram utilizados com distintos pesos: distância da rede de drenagem, distância do fragmento de vegetação nativa, declividade, classe de solo e precipitação. De acordo com o mapa de áreas prioritárias produzido, 92,69% da área foi classificado como área de importância baixa ou muito baixa para recuperação florestal e, 7,31% como área de média, alta e muito alta prioridade. A ADMC é de fácil implementação, produzindo mapas que podem predizer as soluções adequadas para conduzir ações de recuperação, desde que a base de dados seja fidedigna para obter resultados satisfatórios.Palavras-chave: manejo de ecossistemas; combinação linear ponderada; processo analítico hierárquico. MULTRICRITERIA ANALYSIS TO DEFINE PRIORITY AREAS FOR FOREST RECOVERY IN THE RIO DOCE BASIN, MINAS GERAIS ABSTRACT: The Brazilian Atlantic forest is one of the most fragmented ecosystems and exploited Brazilian biome. As restoration activities are expensive, multicriteria decision analysis (MCDA) integrated with GIS (geographic information system) provide a satisfactory spatial decision support system to efficiently produce maps. The collapse of a mining dam in a region of Brazilian Atlantic forest, resulted in the destruction of communities by a river of mud and mining waste. Thus, the objective of this study was to map and identify priority areas for forest recover in the Rio Doce Basin, Minas Gerais. We used GIS-based multicriteria decision analysis associated with the analytic hierarchy process (AHP) and weighted linear combination (WLC) method in the aggregation of criteria. Five factors were used, receiving different weights: distance from the drainage network, distance from the native vegetation patches, slope, soil class and precipitation. According to the priority areas map, 92.69% of the area was classified as an area of low or very low importance for forest recovery and the remained (2.92%) of the Rio Doce basin was mapped as an area with high and very high priority for forest recovery. The ADMC is easy to implement, producing maps that can predict the right solutions to conduct recovery actions, provided the database is trusted for satisfactory results.Keywords: ecossystem management; linear weighted combination; analytical hierarchical process.

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Klink, P. C., P. Jentgens, and J. A. M. Lorteije. "Priority Maps Explain the Roles of Value, Attention, and Salience in Goal-Oriented Behavior." Journal of Neuroscience 34, no. 42 (October 15, 2014): 13867–69. http://dx.doi.org/10.1523/jneurosci.3249-14.2014.

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23

Gómez, Mar, Belén González-Díaz, and Arturo Molina. "Priority maps at wine tourism destinations: An empirical approach in five Spanish wine regions." Journal of Destination Marketing & Management 4, no. 4 (December 2015): 258–67. http://dx.doi.org/10.1016/j.jdmm.2015.09.003.

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You, Zhiyu, Keyu Shen, Tao Huang, Yongxin Liu, and Xiaofeng Zhang. "Application of A* Algorithm Based on Extended Neighborhood Priority Search in Multi-Scenario Maps." Electronics 12, no. 4 (February 17, 2023): 1004. http://dx.doi.org/10.3390/electronics12041004.

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The robustness of the traditional A* algorithm of path planning is poor due to its excessive number of traversal nodes, slow search speed, and large turning angle. Aiming to solve the above problems, a multi-scenario adaptive A* algorithm based on extended neighborhood priority search is proposed. Firstly, this algorithm designs the heuristic function that can adapt to various scene changes by quantifying the scene map information, and the search weight is adjusted adaptively to enhance the robustness and adaptability of the algorithm. Secondly, the search strategy based on extended neighborhood priority is adopted to improve the orientation of the algorithm, and the redundant node removal strategy is used to smooth the path to reduce the number of traversed nodes and the turning angle. Finally, simulation tests are conducted in several representative map environments. The test results show that the proposed algorithm is superior to the traditional A* algorithm due to its stronger robustness and significantly improved performance metrics, with an 84.95% reduction in the number of traversal nodes, an 83.84% reduction in the number of path nodes, a 62.28% reduction in turning points on the path, a 77.38% reduction in the total turning angle, and a 58.47% reduction in the search time.

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Marnasidis, Simeon, Apostolos Kantartzis, Chrisovalantis Malesios, Fani Hatjina, Garyfallos Arabatzis, and Efstathia Verikouki. "Mapping Priority Areas for Apiculture Development with the Use of Geographical Information Systems." Agriculture 11, no. 2 (February 23, 2021): 182. http://dx.doi.org/10.3390/agriculture11020182.

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Supporting local and central authorities in decision-making processes pertaining to environmental planning requires the adoption of scientific methods and the submission of proposals that could be implemented in practice. Taking into consideration the dual role that honeybees play as honey producers and crop pollinators, the aim of the present study is to identify and utilize a number of indicators and subsequently develop priority thematic maps. Previous research has focused on the determination of, and, on certain occasions, on mapping, priority areas for apiculture development, based mainly on the needs of honeybees, without taking into consideration the pollination needs of crops that are cultivated in these areas. In addition, research so far has been carried out in specific spatial entities, in contrast to the current study, in which the areas to be comparatively assessed are pre-chosen based on their geographical boundaries. The information derived from this process is expected to help decision-makers in local and regional authorities to adopt measures for optimal land use and sound pollination practices in order to enhance apiculture development at a local scale. To achieve this target, the study incorporates literature about the attractiveness of crops and plants to pollinating honeybees as well as the pollination services provided by honeybees, in combination with detailed vegetative land cover data. The local communities of each municipality were comparatively evaluated, by introducing three indicators through numerical and spatial data analysis: Relative Attractiveness Index (RAI), Relative Dependence Index (RDI), and Relative Priority Index (RPI). Based on these indicators, attractiveness, dependence, and priority maps were created and explained in detail. We suggest that a number of improvement measures that will boost pollination or honey production or both should be taken by decision-makers, based on the correlations between the aforementioned indicators and the exanimated areas. In addition, dependence maps can constitute a powerful tool for raising awareness among both the public and the farmers about the value of honeybees in pollination, thus reinforcing bee protection efforts undertaken globally. Attractiveness maps that provide a thorough picture of the areas that are sources of pollen and nectar can serve as a general guide for the establishment of hives in areas with high potential for beekeeping.

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Korvin-Piotrovskyi, A. O. "ARCHAEOLOGICAL MAPS OF THE SOUTH UKRAINE." Archaeology and Early History of Ukraine 26, no. 1 (March 22, 2018): 66–72. http://dx.doi.org/10.37445/adiu.2018.01.04.

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Archaeological investigations of southern regions of our country have a long story. By the efforts of amateurs and connoisseurs of antiquities, and as time academics were discovered hundreds of the new sites that got its place on archaeological maps. The history of archaeology operates by dozen archaeological maps created since 2nd quarter of 19th century to the present day. They were good spotlighted of territories exploration degree at certain stages of scientific development, illustrated priority subject matters for researchers, and the level of demand of special knowledge and instruments required for creating a qualitative cartography product. A significant role in the emergence of archaeological maps of the region played by Odesa Society of History and Antiquities and Kherson museum, Archaeological Congresses, large-scale archaeology investigations of 1960s—80s. Archaeological cartography was born within science since 19th century and on the crossroads of centuries is make a claim for being separate science line. But in Soviet Period it was relegated to almost illustrative only. And even still it had not become a powerful tool as in archaeology, and more, in the field of protection of archaeological sites.

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Yudha Pramono, Fisnu, Yunitta Chandra Sari, and Suripin. "Priority development of smalldam in Wonogiri regency." MATEC Web of Conferences 195 (2018): 05010. http://dx.doi.org/10.1051/matecconf/201819505010.

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The province of Central Java often experiences floods during the rainy season and drought in the dry season. To support the program, BBWS Bengawan Solo participated in building some small-dams in Solo basin watershed. For this plan to be realized there needs to be a preceded study to determine the locations of potential dams. The paper aims to identify potential small-dams in the Solo River Basin, particularly in the Wonogiri District, and to determine priorities for the sequence of development. The potential of the small-dams is roughly derived from public information, topographic maps, and ground surveys. Initially, based on public information and local government officials, 39 locations of small-dams were obtained. After analyzing the topographic map and ground checking, the potential locations were cut down to 13 sites. Five small-dams will be selected as the first priority. The priority is determined based on multiple criteria, which consisted of technical criteria (topography, geology, and hydrology) and non-technical criteria (drought, economy, social and environment). Assessment method was based on the scoring system on all criteria. The result found that the five most potential small-dams in Wonogiri District are Glimbung, Gompyong, Wungu, Weru, and Waru.

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Paprotny, Zbigniew. "“Carte-á-figure” maps of Poland: dates, states, and provenances." Polish Cartographical Review 51, no. 1 (March 1, 2019): 39–46. http://dx.doi.org/10.2478/pcr-2019-0002.

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Abstract After short introduction to carte-á-figure genre of maps discussed are three maps of Poland belonging to this category: the first state of Hondius’ Nova POLONIAE delineatio”, Visscher’s “Haec Tabula nova POLONIAE et SILESIAE, and Speed’s A NEWE MAPE OF POLAND. For the origin of the Hondius’ map a more precise range of dates is proposed. Question of the Visscher map’s order of states is clarified, supported by evidence from the author’s research. Finally, line of reasoning is presented and arguments quoted disproving widely held belief in priority of the Speed’s map over the Visscher’s. Also, dissimilarities between images of Silesia on Hondius’ and Visscher’s maps together with possible reasons of these are considered.

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Sheya, A., and L. B. Smith. "Changing priority maps in 12- to 18-month-olds: An emerging role for object properties." Psychonomic Bulletin & Review 17, no. 1 (January 15, 2010): 22–28. http://dx.doi.org/10.3758/pbr.17.1.22.

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30

Zelinsky, Gregory J., and James W. Bisley. "The what, where, and why of priority maps and their interactions with visual working memory." Annals of the New York Academy of Sciences 1339, no. 1 (January 7, 2015): 154–64. http://dx.doi.org/10.1111/nyas.12606.

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Setiawan, Anton, Dwi Nugraheny, and Saprudin. "MOBILE-BASED OUTPATIENT QUEUE SYSTEM USING THE PRIORITY SCHEDULING AND FIRST COME FIRST SERVED SCHEDULING METHOD." Angkasa: Jurnal Ilmiah Bidang Teknologi 11, no. 1 (May 6, 2019): 54. http://dx.doi.org/10.28989/angkasa.v11i1.426.

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The outpatient queue system at the Pratama Clinic still uses manuals so that it can implement computerized technology (mobile) to improve health services for patients. In making this outpatient queue system application using the Priority Scheduling method which is a priority scheduling algorithm. Each process is equipped with a priority number (the smallest integer value is usually the biggest priority). This outpatient queue system is mobile based with the aim that patients can register online. Test results using a comparison of smartphones from the Android 4.1 version of Jelly Bean to the Android 7.0 version of Nougat can run. Comparison of distances in applications with google maps, get the same results and test application users using a questionnaire that is calculated with a Likert Scale to get 81.8% results including the "Very Good" category.

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Gayer, G., S. Leschka, I. Nöhren, O. Larsen, and H. Günther. "Tsunami inundation modelling based on detailed roughness maps of densely populated areas." Natural Hazards and Earth System Sciences 10, no. 8 (August 3, 2010): 1679–87. http://dx.doi.org/10.5194/nhess-10-1679-2010.

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Abstract. An important part within the German-Indonesian Tsunami Early Warning System (GITEWS) project was the detailed numerical investigation of the impact of tsunamis in densely populated coastal areas of Indonesia. This work, carried out by the German Research Centre Geesthacht (GKSS), in co-operation with DHI-WASY, also provides the basis for the preparation of high resolution hazard and risk maps by the German Aerospace Center (DLR). In this paper a method is described of how to prepare very detailed roughness maps for scenario computations performed with the MIKE 21 Flow Model FM in three highly resolved (~10 m) priority regions, namely Kuta (Bali), Padang (West-Sumatra), and Cilacap (southern coast of Java). Roughness values are assigned to 43 land use classes, e.g. different types of buildings, rural and urban sub-areas, by using equivalent coefficients found in literature or by performing numerical experiments. Comparisons of simulations using differentiated roughness maps with simulations using constant values (a widely used approach) are presented and it is demonstrated that roughness takes considerable influence on run-up and inundation. Out of all simulations, the results of the worst case scenarios for each of the three priority areas are discussed. Earthquakes with magnitudes of MW=8.5 or higher lead to considerable inundation in all study sites. A spatially distinguished consideration of roughness has been found to be necessary for detailed modelling onshore.

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Yang, Jun, Fanqiang Kong, Jianchao Xi, Quansheng Ge, Xueming Li, and Peng Xie. "Land Use Patch Generalization Based on Semantic Priority." Abstract and Applied Analysis 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/151520.

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Land use patch generalization is the key technology to achieve multiscale representation. We research patches and achieve the following. (1) We establish a neighborhood analysis model by taking semantic similarity between features as the prerequisite and accounting for spatial topological relationships, retrieve the most neighboring patches of a feature using the model for data combination, and thus guarantee the area of various land types in patch combination. (2) We establish patch features using nodes at the intersection of separate feature buffers to fill the bridge area to achieve feature aggregation and effectively control nonbridge area deformation during feature aggregation. (3) We simplify the narrow zones by dividing them from the adjacent feature buffer area and then amalgamating them into the surrounding features. This effectively deletes narrow features and meets the area requirements, better generalizes land use features, and guarantees simple and attractive maps with appropriate loads. (4) We simplify the feature sidelines using the Douglas-Peucker algorithm to effectively eliminate nodes having little impact on overall shapes and characteristics. Here, we discuss the model and algorithm process in detail and provide experimental results of the actual data.

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Qomari, Nurul, Musriha Musriha, and Hendra Hendra. "Analisis Persepsi Karyawan Terhadap Harapan Dan Kenyataan Operasional Berdasarkan Metode Ishikawa Dan Metode Spider Plot Pada Pt. Tata Makmur Bersama Di Sidoarjo." EKONIKA : Jurnal Ekonomi Universitas Kadiri 7, no. 2 (September 12, 2022): 351. http://dx.doi.org/10.30737/ekonika.v7i2.3029.

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This study is to test and analyze employee perceptions/responses to operational expectations and realities in the factors of production based on Ishikawa diagrams/methods and spider plot methods at PT. Prosperity Together in Sidoarjo. The advantages of the field Increasing the ratio as a scale has been described through Cartesian diagrams and Spider Plots with the detection of the farther between expectations and reality being the cause of extreme dissatisfaction felt by employees. For short-term and long-term strategic maps for management, it can be seen in the Cartesian diagram that has been presented by researchers with a priority scale (short term) to improve the Main Priority quadrant. For long-term improvement, company management can use data in the Maintain Achievement and Low Priority quadrant

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Graepp-Fontoura, Iolanda, David Soeiro Barbosa, Luiz Fernando Costa Nascimento, Volmar Morais Fontoura, Adriana Gomes Nogueira Ferreira, Francisca Aline Arrais Sampaio Santos, Benedito Salazar Sousa, et al. "Epidemiological aspects and spatial patterns of human visceral leishmaniasis in Brazil." Parasitology 147, no. 14 (September 21, 2020): 1665–77. http://dx.doi.org/10.1017/s0031182020001754.

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AbstractHuman visceral leishmaniasis (HVL) cases are important public health problems due to their zoonotic aspect, with high rates of morbidity and mortality in Brazil. The aim of this this study was to identify spatial patterns in both rates of HVL cases in Brazilian states during the period from 2006 to 2015. This is an ecological study, using geoprocessing tools to create choropleth maps, based on secondary data from open access platforms, to identify priority areas for control actions of the disease. Data were collected in 2017 and analysed according to the global and local Moran's I, using TerraView 4.2.2 software. Similar clusters were observed in neighbouring municipalities in thematic maps of HVL, suggesting spatial similarity in the distribution of the disease in humans mainly in the North and Northeast Regions, which concentrate the states with the highest rates of HVL. Heterogeneous spatial patterns were observed in the distribution of HVL, which show municipalities that need higher priority in the intensification of disease surveillance and control strategies.

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Ramsey, Richard, and Rob Ward. "Putting the Nonsocial Into Social Neuroscience: A Role for Domain-General Priority Maps During Social Interactions." Perspectives on Psychological Science 15, no. 4 (June 8, 2020): 1076–94. http://dx.doi.org/10.1177/1745691620904972.

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Whether on a first date or during a team briefing at work, people’s daily lives are inundated with social information, and in recent years, researchers have begun studying the neural mechanisms that support social-information processing. We argue that the focus of social neuroscience research to date has been skewed toward specialized processes at the expense of general processing mechanisms with a consequence that unrealistic expectations have been set for what specialized processes alone can achieve. We propose that for social neuroscience to develop into a more mature research program, it needs to embrace hybrid models that integrate specialized person representations with domain-general solutions, such as prioritization and selection, which operate across all classes of information (both social and nonsocial). To illustrate our central arguments, we first describe and then evaluate a hybrid model of information processing during social interactions that (a) generates novel and falsifiable predictions compared with existing models; (b) is predicated on a wealth of neurobiological evidence spanning many decades, methods, and species; (c) requires a superior standard of evidence to substantiate domain-specific mechanisms of social behavior; and (d) transforms expectations of what types of neural mechanisms may contribute to social-information processing in both typical and atypical populations.

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Della Libera, Chiara, Riccardo Calletti, Jana Eštočinová, Leonardo Chelazzi, and Elisa Santandrea. "Reward-based plasticity of spatial priority maps: Exploiting inter-subject variability to probe the underlying neurobiology." Cognitive Neuroscience 8, no. 2 (August 2016): 85–101. http://dx.doi.org/10.1080/17588928.2016.1213226.

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38

Vinken, Renier. "Digital geoscientific maps: A priority program of the German Society for the Advancement of Scientific Research." Mathematical Geology 18, no. 2 (February 1986): 237–46. http://dx.doi.org/10.1007/bf00898285.

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39

Fusade-Boyer, Maxime, Pidemnéwé S. Pato, Mathias Komlan, Koffi Dogno, Komla Batawui, Emilie Go-Maro, Pamela McKenzie, et al. "Risk Mapping of Influenza D Virus Occurrence in Ruminants and Swine in Togo Using a Spatial Multicriteria Decision Analysis Approach." Viruses 12, no. 2 (January 21, 2020): 128. http://dx.doi.org/10.3390/v12020128.

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Influenza D virus (IDV) has been identified in several continents, with serological evidence for the virus in Africa. In order to improve the sensitivity and cost–benefit of IDV surveillance in Togo, risk maps were drawn using a spatial multicriteria decision analysis (MCDA) and experts’ opinion to evaluate the relevance of sampling areas used so far. Areas at highest risk of IDV occurrence were the main cattle markets. The maps were evaluated with previous field surveillance data collected in Togo between 2017 and 2019: 1216 sera from cattle, small ruminants, and swine were screened for antibodies to IDV by hemagglutination inhibition (HI) assays. While further samples collections are needed to validate the maps, the risk maps resulting from the spatial MCDA approach generated here highlight several priority areas for IDV circulation assessment.

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FATOUROU, PANAGIOTA, MARIOS MAVRONICOLAS, and PAUL SPIRAKIS. "MAX-MIN FAIR FLOW CONTROL SENSITIVE TO PRIORITIES." Journal of Interconnection Networks 06, no. 02 (June 2005): 85–114. http://dx.doi.org/10.1142/s0219265905001332.

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Flow control is the dominant technique currently used in communication networks for preventing excess traffic from flooding the network, and for handling congestion. In rate-based flow control, transmission rates of sessions are adjusted in an end-to-end manner through a sequence of operations. In this work, we present a theory of max-min fair, rate-based flow control sensitive to priorities of different sessions, as a significant extension of the classical theory of max-min fair, rate-based flow control to networks supporting applications with diverse requirements on network resources. Each individual session bears a priority function, which maps the session's priority to a transmission rate; the priority is a working abstraction of the session's priority to bandwidth access. Priority functions enable the specification of requirements on bandwidth access by distributed applications, and the formal handling of such requirements. We present priority max-min fairness, as a novel and well motivated fairness condition which requires that assigned rates correspond, through the priority functions, to priorities comprising a max-min vector. We also introduce priority bottleneck algorithms gradually update a session's rate until when its priority is restricted on a priority bottleneck edge of the network. We establish a collection of interesting combinatorial properties of priority bottleneck algorithms. Most significantly, we show that they can only converge to priority max-min fairness. As an application of our general theory, we embed priority bottleneck algorithms in the more realistic optimistic framework for rate-based flow control. The optimistic framework allows for both decreases and increases of session rates. We exploit these additionally provided semantics to prove further combinatorial properties for the termination of priority bottleneck algorithms in the optimistic framework. We use these properties to conclude the first optimistic algorithms for efficient, max-min fair, rate-based flow control sensitive to priorities.

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Sirait, Dharma Agustinus, Widiatmaka Widiatmaka, and Omo Rusdiana. "Arahan Pengembangan Hutan Rakyat untuk Penanganan Lahan Kritis di Kabupaten Sukabumi, Provinsi Jawa Barat." TATALOKA 23, no. 3 (August 31, 2021): 344–53. http://dx.doi.org/10.14710/tataloka.23.3.344-353.

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Community forest plants can be an alternative fulfillment of raw material for the timber industry. While Sukabumi Regency is region with the largest area in West Java Province, so it the potential for development of community forest plants. This study wants to find the availability of land for development community forest plants, analyzing the suitability of community forest plantations, and formulating direction for development community forest plants in Sukabumi Regency. The study was conducted in Sukabumi Regency, which began in February-August 2019. The data used is the weight of each criteria for suitability of community forest plants from experts, data Land Map Units from BBSDLP, land use maps, RTRW maps, forest area maps, and land licensing. The method used is spatial analysis for determining available land, Analytical Hierarchy Process (AHP) for determining criteria weights, Multi Criteria Evaluation (MCE) for analyzing land suitability, and spatial analysis for determining development priority directions. The results showed that availability land for development of community forest plants in Sukabumi Regency was 57,786 hectares. The available land area in Sukabumi Regency which is classified as suitable (S1, S2, S3) i.e 57%. The development of community forest plants is directed at priority 1, which is an 83%.

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Ribeiro, J., A. Silva, and P. Leitão. "High resolution tsunami modelling for the evaluation of potential risk areas in Setúbal (Portugal)." Natural Hazards and Earth System Sciences 11, no. 8 (August 26, 2011): 2371–80. http://dx.doi.org/10.5194/nhess-11-2371-2011.

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Abstract. The use of high resolution hydrodynamic modelling to simulate the potential effects of tsunami events can provide relevant information about the most probable inundation areas. Moreover, the consideration of complementary data such as the type of buildings, location of priority equipment, type of roads, enables mapping of the most vulnerable zones, computing of the expected damage on man-made structures, constrain of the definition of rescue areas and escape routes, adaptation of emergency plans and proper evaluation of the vulnerability associated with different areas and/or equipment. Such an approach was used to evaluate the specific risks associated with a potential occurrence of a tsunami event in the region of Setúbal (Portugal), which was one of the areas most seriously affected by the 1755 tsunami. In order to perform an evaluation of the hazard associated with the occurrence of a similar event, high resolution wave propagation simulations were performed considering different potential earthquake sources with different magnitudes. Based on these simulations, detailed inundation maps associated with the different events were produced. These results were combined with the available information on the vulnerability of the local infrastructures (building types, roads and streets characteristics, priority buildings) in order to impose restrictions in the production of high-scale potential damage maps, escape routes and emergency routes maps.

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Bayguinov, Peter O., Nima Ghitani, Meyer B. Jackson, and Michele A. Basso. "A hard-wired priority map in the superior colliculus shaped by asymmetric inhibitory circuitry." Journal of Neurophysiology 114, no. 1 (July 2015): 662–76. http://dx.doi.org/10.1152/jn.00144.2015.

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The mammalian superior colliculus (SC) is a laminar midbrain structure that translates visual signals into commands to shift the focus of attention and gaze. The SC plays an integral role in selecting targets and ultimately generating rapid eye movements to those targets. In all mammals studied to date, neurons in the SC are arranged topographically such that the location of visual stimuli and the endpoints of orienting movements form organized maps in superficial and deeper layers, respectively. The organization of these maps is thought to underlie attentional priority by assessing which regions of the visual field contain behaviorally relevant information. Using voltage imaging and patch-clamp recordings in parasagittal SC slices from the rat, we found the synaptic circuitry of the visuosensory map in the SC imposes a strong bias. Voltage imaging of responses to electrical stimulation revealed more spread in the caudal direction than the rostral direction. Pharmacological experiments demonstrated that this asymmetry arises from GABAA receptor activation rostral to the site of stimulation. Patch-clamp recordings confirmed this rostrally directed inhibitory circuit and showed that it is contained within the visuosensory layers of the SC. Stimulation of two sites showed that initial stimulation of a caudal site can take priority over subsequent stimulation of a rostral site. Taken together, our data indicate that the circuitry of the visuosensory SC is hard-wired to give higher priority to more peripheral targets, and this property is conferred by a uniquely structured, dedicated inhibitory circuit.

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Somma, Roberta, and Nunzio Costa. "Unraveling Crimes with Geology: As Geological and Geographical Evidence Related to Clandestine Graves May Assist the Judicial System." Geosciences 12, no. 9 (September 12, 2022): 339. http://dx.doi.org/10.3390/geosciences12090339.

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The geological and geographical evidence related to crime scenes involving clandestine graves is valuable data to consider during judicial investigations because it can provide useful criminological and criminalistic information. Research results on the nature and main features of historical cases and thirty criminal burials are reported. Among the studied cases, a recent homicide clandestine grave was analyzed through remote sensing. This latter allowed the definition of GIS-based RAG maps and search priority scenarios and ascertain that the study grave fell in a high priority Red coded area, validating a method previously based only on simulated crime scenes.

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Isotti, Roberto, and Mario Monacelli. "Land management by bird community analysis: comparison among mapping methods for the zonation of a mediterranean habitat." Israel Journal of Ecology and Evolution 65, no. 3-4 (November 6, 2019): 137–46. http://dx.doi.org/10.1163/22244662-20191046.

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Management algorithms of protected areas are widely used to identify potential networks of natural reserves that meet pre-established ecological requirements, such as a specific habitat percentage or a specific number of populations, while minimizing the related costs. Here we present a comparison of priority conservation maps of a protected area in central Italy, generated using different methods (i.e., Marxan, Marxan with Zones, Zonation, and directly overlapping the bird data with the vegetation type in the study area), based on an eight-year data set describing bird communities in the Circeo National Park. The generated maps can be used as a starting point when working with stakeholders involved in the management of this area. Our cartographic comparison illustrated that in the majority of the cases priority areas overlapped (the proportion of overlap was greater than 80% of the area size), affirming that the methods are equivalent. However, there were also divergent cases (the proportion of overlap was 0% of the area size), suggesting differential sensitivities of the four compared methods.

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De Almeida, Franciane Carla, Eduarda Martiniano De Oliveira Silveira, Lara Lopes De Paiva, and Fausto Weimar Acerbi Júnior. "MAPPING PRIORITY AREAS FOR FOREST RECOVERY USING MULTICRITERIA ANALYSIS IN THE BRAZILIAN ATLANTIC FOREST." Raega - O Espaço Geográfico em Análise 46, no. 3 (August 28, 2019): 113. http://dx.doi.org/10.5380/raega.v46i3.67075.

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The collapse of a mining dam with 62 million cubic meters of mud in the Rio Doce basin resulted in the destruction of whole communities and large areas of Atlantic Forest. As forest restoration activities are among the most costly conservation strategies, prioritization of restoration efforts is crucial. In the present article, we mapped priority areas for forest recovery in a portion of the Rio Doce Basin (DO1) using a GIS-based (geographic information system) multicriteria decision analysis (MCDA) employing the weighted linear combination (WLC) method. Five factors with different weights were taken into consideration according to their level of importance: distance from the drainage network, distance from the native vegetation patches, slope, soil class and precipitation. A map of priority areas was produced where 1.73% of the area was classified as very high priority for forest recovery, while 5.18% of the area was classified as high priority, 57.88% as medium priority, 1.34% as low priority and 0.00% as very low priority. The highest weights were both for the distance from the drainage network and the distance from native vegetation, revealing that areas of permanent preservation and those closer to forest fragments are priority areas for forest recovery. MCDA is a flexible and easy-to-implement method generating maps with suitable solutions for forest recovery. The approach taken can be replicated in regions that require support for decision making in environmental planning, such as the Pantanal biome, which is under considerable pressure from deforestation for the expansion of pastures.

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Irsyam, Masyhur, Phil R. Cummins, M. Asrurifak, Lutfi Faizal, Danny Hilman Natawidjaja, Sri Widiyantoro, Irwan Meilano, et al. "Development of the 2017 national seismic hazard maps of Indonesia." Earthquake Spectra 36, no. 1_suppl (September 1, 2020): 112–36. http://dx.doi.org/10.1177/8755293020951206.

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Indonesia is one of the most seismically active countries in the world, and its large, vulnerable population makes reliable seismic hazard assessment an urgent priority. In 2016, the Indonesian Ministry of Public Works and Housing established a team of earthquake scientists and engineers tasked with improving the input data available for revising the national seismic hazard map. They compiled results of recent active fault studies using geological, geophysical, and geodetic observations, as well as a new comprehensive earthquake catalog including hypocenters relocated in a three-dimensional velocity model. Seismic hazard analysis was undertaken using recently developed ground motion prediction equations (GMPEs), and logic trees for the inclusion of epistemic uncertainty associated with different choices for GMPEs and earthquake recurrence models. The new seismic hazard maps establish the importance of active faults and intraslab seismicity, as well as the subduction megathrust, in determining the level of seismic hazard, especially in onshore, populated areas. The new Indonesian hazard maps will be used to update national standards for design of earthquake-resilient buildings and infrastructure.

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Lucena, Mycarla Araujo, and Eliza Maria Freire. "ENVIRONMENTAL PERCEPTION OF RURAL COMMUNITIES AND ANALYSIS OF LANDSCAPE: SUBSIDIES FOR PRIORITY AREA FOR CONSERVATION PROPOSITION IN THE RIO GRANDE DO NORTE SEMIARID, BRAZIL." Raega - O Espaço Geográfico em Análise 34 (September 22, 2015): 69. http://dx.doi.org/10.5380/raega.v34i0.37102.

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Priority Areas for Conservation are defined in order to protect environments that are home to a richness of species, endemisms and/or endangered species. However, besides these factors, additional studies such as Environmental Perception of local communities and Landscape Analysis are relevant to assess and minimize the negative effects caused to natural environments. In this context and in this perspective, the Mountain Range Complex João do Vale was studied, located in the state of Rio Grande do Norte, which holds a set of landscapes with different vegetation types that are being replaced by various economic activities resulting from disordered population growth and consequent exploitation of natural resources' potential. The use of these resources, in most cases, occurs improperly, leading to a depletion of this potential. This study proposes to combine Analysis of Landscape, through a Geographic Information System (GIS), to the Environmental Perception of rural communities in order to define Priority Areas for Conservation. Perception data were obtained through direct observation, questioning, interviews and application forms (n = 240); as to the landscape, data from slope maps, Permanent Preservation Areas (PPA) and Environmental Vulnerability were used. The Content Analysis used for perception data showed that respondents have a sense of topophilia regarding where they live, hold a vast knowledge about natural resources and responded positively when asked about the choice of an exclusive area for conservation. These results coupledwith the Analysis of Landscape allowed with of Priorty Areas for Conservation in this Mountain Range Complex with three categories of priority low, medium and high.

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Gedney, Ryan, Kimberly Butler Willis, Aaron O’Brien, Michael Luciano, Katherine J. Richardson, and Eric G. Meissner. "Identification of Priority Areas for Increased Testing Using Geospatial Mapping of Incident HIV Cases Near Charleston, South Carolina." Infectious Diseases: Research and Treatment 12 (January 2019): 117863371987075. http://dx.doi.org/10.1177/1178633719870759.

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Analysis of disease incidence using geospatial mapping techniques can enhance targeted public health efforts in resource-limited settings. While data for HIV incidence are readily available for some metropolitan regions, there is no existing resource that maps HIV incidence geospatially for Charleston, South Carolina and surrounding counties. To facilitate the public health approach to address the HIV epidemic in this region, we used data collected by the South Carolina Department of Health and Environmental Control (SC-DHEC) from 2014 to 2015 to generate local geospatial maps of disease incidence and identify specific areas that may benefit from increased testing and educational efforts. We identified specific zip codes in which there were a high number of cases from patients residing in those areas, but a low number of providers reporting new cases, and we describe ongoing efforts to address this disparity. This analysis identifies a local, collaborative approach to address the HIV epidemic using routinely collected surveillance data.

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Meirawan, Danny, Ana A, Awindha Eko Lusiana, and Tutin Aryanti. "The Mapping of Vocational Competencies Based on Regional Potential Using Geographic Information System." International Journal of Engineering & Technology 7, no. 4.33 (December 9, 2018): 171. http://dx.doi.org/10.14419/ijet.v7i4.33.23525.

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Regional potential based approach is one of the strategies to create quality human resources that can develop regional potential. Vocational competence which is not in line with the local potential has become a problem in one of regencies in Indonesia namely Tangerang Regency. The purpose of this study was to map vocational competencies in Tangerang Regency based on the potential using the Geographic Information System (GIS). GIS is used to help school mapping so that educational planning can be well realized. This research uses a qualitative approach with descriptive research methods. The data analysis uses LQ and PCA analysis. The results of the LQ analysis show that there are 10 districts that have industrial potential, 14 districts with livestock potential, 4 districts with fishery potential and 19 districts with agricultural potential. The results of the PCA analysis show that there are 14 districts which become priority locations for vocational school development. The mapping of vocational competencies which is based on regional potential in Tangerang Regency uses GIS in the form of maps of regional potential distribution and maps of priority locations for vocational school development.

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Статті в журналах з теми "Priority maps"

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