scholarly journals Students’ strategies for thematic map analysis

2021 ◽  
Vol 3 ◽  
pp. 1-2
Author(s):  
Lenka Havelková ◽  
Martin Hanus ◽  
David Trokšiar
Keyword(s):  

2007 ◽  
Vol 15 (3) ◽  
pp. 460-465 ◽  
Author(s):  
Juliana Silva Gauy ◽  
Paula Hino ◽  
Claudia Benedita dos Santos

This cross-sectional study aimed to describe the spatial distribution of leprosy cases in Ribeirão Preto in 2004. The data collection was performed through compulsory notification records in the Epidemiological Surveillance Service of the Municipal Secretary of Health of Ribeirão Preto. The data were geo-coded through the MapInfo program version 7.8 in order to obtain the thematic map. From the 37 cases found, 62% were automatically coded, which revealed good compatibility between the database and the information in the cartographic base. The remaining 38% of the cases were geo-coded interactively. The thematic map analysis and the geo-referenced cases revealed a concentration of cases in the Northern region of the city, traditionally characterized by poor neighborhoods.


2021 ◽  
Vol 14 (4) ◽  
pp. 2391-2402
Author(s):  
Elenice Broetto Weiler ◽  
Jussara Cabral Cruz ◽  
Marília Ferreira Ferreira ◽  
José Miguel Reichert ◽  
Bruno Campos Mantovanelli ◽  
...  

The aim of this study was to propose a methodological approach to determine the best land use based on USLE model parameters, using the watershed as planning unit. The model USLE parameters were spatialized using the software ArcGis 10.5, for the case study of the Cachoeira Cinco Veados watershed, RS-Brazil, and the erosive values were categorized according to the methodology of Ribeiro (2006). We reclassified the areas in “suitable” and “not suitable” to the tested use, according to two limit-criteria adopted as maximum acceptable soil losses (20 and 50 t ha-1 year-1). The methodology consists of constructing two strategies: the first is a construction of a thematic map, considering a priority order of uses in the watershed, where the most spendthrift use was analyzed first (Script of Hierarchical Analysis among Uses); and the second consists of the construction of maps that correspond to scenarios with watershed areas suitable to a given use, according to the classification criterion used, and their crossing with the current use map (Analysis Script by Use). The results show it is possible to classify the areas in “suitable” and “not suitable” for a given use, allowing with this organizational strategy to identify, quantify and spatialize the areas in accordance with the limit of potential soil loss and point out those that do not tolerate the tested use. This is a useful information for decision makers when studying regional planning.


2019 ◽  
Vol 9 (1) ◽  
pp. 9 ◽  
Author(s):  
Lenka Havelková ◽  
Izabela Małgorzata Gołębiowska

Thematic map analysis is a complex and challenging task that might result in map user failure for many reasons. In the study reported here, we wanted to search for differences between successful and unsuccessful map users, focusing—unlike many similar studies—on strategies applied by users who give incorrect answers. In the eye-tracking study, followed by a questionnaire survey, we collected data from 39 participants. The eye-tracking data were analyzed both qualitatively and quantitatively to compare participants’ strategies from various perspectives. Unlike the results of some other studies, it turned out that unsuccessful participants show some similarities that are consistent across most analyzed tasks. The main issues that characterize bad solvers relate to improper use of the thematic legend, the inability to focus on relevant map layout elements, as well as on adequate map content. Moreover, they differed in the general problem-solving approach used as they, for example, tended to choose fast, less cautious, strategies. Based on the collected results, we developed tips that could help prevent unsuccessful participants ending with an incorrect answer and therefore be beneficial in map use education.


2017 ◽  
Author(s):  
Natalia Sizochenko ◽  
Alicja Mikolajczyk ◽  
Karolina Jagiello ◽  
Tomasz Puzyn ◽  
Jerzy Leszczynski ◽  
...  

Application of predictive modeling approaches is able solve the problem of the missing data. There are a lot of studies that investigate the effects of missing values on qualitative or quantitative modeling, but only few publications have been<br>discussing it in case of applications to nanotechnology related data. Current project aimed at the development of multi-nano-read-across modeling technique that helps in predicting the toxicity of different species: bacteria, algae, protozoa, and mammalian cell lines. In this study, the experimental toxicity for 184 metal- and silica oxides (30 unique chemical types) nanoparticles from 15 experimental datasets was analyzed. A hybrid quantitative multi-nano-read-across approach that combines interspecies correlation analysis and self-organizing map analysis was developed. At the first step, hidden patterns of toxicity among the nanoparticles were identified using a combination of methods. Then the developed model that based on categorization of metal oxide nanoparticles’ toxicity outcomes was evaluated by means of combination of supervised and unsupervised machine learning techniques to find underlying factors responsible for toxicity.


2017 ◽  
Author(s):  
Natalia Sizochenko ◽  
Alicja Mikolajczyk ◽  
Karolina Jagiello ◽  
Tomasz Puzyn ◽  
Jerzy Leszczynski ◽  
...  

Application of predictive modeling approaches is able solve the problem of the missing data. There are a lot of studies that investigate the effects of missing values on qualitative or quantitative modeling, but only few publications have been<br>discussing it in case of applications to nanotechnology related data. Current project aimed at the development of multi-nano-read-across modeling technique that helps in predicting the toxicity of different species: bacteria, algae, protozoa, and mammalian cell lines. In this study, the experimental toxicity for 184 metal- and silica oxides (30 unique chemical types) nanoparticles from 15 experimental datasets was analyzed. A hybrid quantitative multi-nano-read-across approach that combines interspecies correlation analysis and self-organizing map analysis was developed. At the first step, hidden patterns of toxicity among the nanoparticles were identified using a combination of methods. Then the developed model that based on categorization of metal oxide nanoparticles’ toxicity outcomes was evaluated by means of combination of supervised and unsupervised machine learning techniques to find underlying factors responsible for toxicity.


1995 ◽  
Vol 32 (1) ◽  
pp. 233-239
Author(s):  
Néstor A. Campana ◽  
Eduardo M. Mendiondo ◽  
Carlos E. M. Tucci

A procedure for estimating hydrological parameters is presented which combines a) remote sensing and GIS techniques with b) data extracted from site visits to city districts; the estimate so obtained is compared with estimates from rainfall data. It is developed in urban sub-basins of Dilúvio Basin in the metropolitan region of Porto Alegre, Brazil. A Fuzzy Algorithm which performs within sub-pixel level is used. Cover classes studied are: highly and slightly impervious, bare ground, grassed open space, and forest. A soil thematic map is determined based on pedological studies. A final distributed thematic map of potential runoff is obtained by superimposing previous data. It is compared with lumped runoff potential from rainfall events in sub-basins. These broad multi-source data hold basic information to develop an alternative strategy for hydrologic studies in urban basins.


2019 ◽  
Vol 944 (2) ◽  
pp. 22-31
Author(s):  
S.A. Sedykh

The author presents the results of the ecological study, with the analysis of landscapes and mapping the area of the 73 km2 polygon. The polygon is located in Western Transbaikalia, covering the site of the Chikoy basin and its mountainous frame. For the analysis of the structure of geosystems and the estimation of the damage, the basic geosystem approach is applied to modern geoinformation-cartographic and remote methods. The carto-semiotic approach was used to visualize and complete the thematic map. A landscape typological map was created in the scale of 1


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