Evaluating Techniques for Multivariate Classification of Non-collocated Spatial Data

Author(s):  
Sean A. McKenna
1969 ◽  
Vol 74 (6) ◽  
pp. 661-669 ◽  
Author(s):  
Steven G. Goldstein ◽  
James D. Linden

2021 ◽  
Vol 352 ◽  
pp. 109080
Author(s):  
Joram van Driel ◽  
Christian N.L. Olivers ◽  
Johannes J. Fahrenfort

2017 ◽  
Vol 100 (2) ◽  
pp. 345-350 ◽  
Author(s):  
Ana M Jiménez-Carvelo ◽  
Antonio González-Casado ◽  
Estefanía Pérez-Castaño ◽  
Luis Cuadros-Rodríguez

Abstract A new analytical method for the differentiation of olive oil from other vegetable oils using reversed-phaseLC and applying chemometric techniques was developed. A 3 cm short column was used to obtain the chromatographic fingerprint of the methyl-transesterified fraction of each vegetable oil. The chromatographic analysis tookonly 4 min. The multivariate classification methods used were k-nearest neighbors, partial least-squares (PLS) discriminant analysis, one-class PLS, support vector machine classification, and soft independent modeling of class analogies. The discrimination of olive oil from other vegetable edible oils was evaluated by several classification quality metrics. Several strategies for the classification of the olive oil wereused: one input-class, two input-class, and pseudo two input-class.


Geografie ◽  
2016 ◽  
Vol 121 (1) ◽  
pp. 1-31
Author(s):  
Péter Gyenizse ◽  
András Trócsányi ◽  
Gábor Pirisi ◽  
Zita Bognár ◽  
Szabolcs Czigány

The process of social differentiation in post-communist states has had a clear impact on the status of neighbourhoods. Municipalities have tried to handle the problem, but planning in Hungary is still based on shallow analyses. This paper presents a method for examining and quantifying prevailing factors of residential areas, also being able of a spatial comparison. It detects problematic issues and locations and assists in the formulation of solutions. The model city for the presented study was Szeged, located in southeastern Hungary. Szeged is the economic center of the region and it was an ideal urban area for the evaluation of housing needs and for the mapping of various objects and social services. A field-collected qualitative database was processed using the Idrisi Selva GIS program, resulting in a classifying map of investigated areas. We have localized the properties of the lowest score and also determined the major issues responsible for low scores by analysing the spatial data of 27 GIS layers. The model can be used to detect the reasons causing differences in the perception of neighbourhoods, while it may serve as a tool for decision makers.


2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Suci Arisa Purba ◽  
Bejo Slamet ◽  
Abdul Rauf

Land conversion activities cause changes in the area of vegetation and carbon storage in the air. These changes can lead to emissions (reduction of carbon stocks) or sequestration (addition of carbon stocks). This study aims to calculate stored carbon in the Padang watershed in 2009 and 2019 and to determine the dynamics of emissions and carbon sequestration due to land conversion in the Padang watershed, North Sumatra Province from 2009 to 2019. The method used in this research is spatial data processing using software Arc Gis. Processing, interpretation and classification of land cover are obtained from land cover data for 2009 and 2019 from the Ministry of Environment and Forestry. Furthermore, the analysis of emissions and carbon sequestration in the Padang watershed was carried out using the REDD Abacus SP software. The results showed that the total carbon stored in 2009 was 5,168,464.09 tons. Meanwhile, the total carbon stored in 2019 was 5,150,784.81 tons. This means that there is a decrease or carbon emission during the 2009-2019 period of 17,679.28 tons. The total net emissions and sequestration that occurred in the Padang watershed due to changes in land use from 2009 - 2019 were 22,851,751.43 tonnes CO2-eq / year and  3,100,199.00 tonnes CO2-eq / year, respectively. Efforts to reduce emissions include planting and developing forests and community-based forest management.


Author(s):  
Somnath Chaudhuri ◽  
Nilanjan Ray

This paper examines current development in Web GIS with the implementation of Geospatial Mashup technologies, such as Google Map in the context of map Mashups, and presents a classification of map Mashups and their application in tourism management and promotion. On the Web GIS context, Mashup is the process of merging multiple sources of data, both spatial and non-spatial, into a single integrated spatial display. It is about extracting spatial data from a non-spatial source and combining with other spatial data and finally displaying it on a map. This paper demonstrates that Geospatial Mashup has great potential to facilitate and widen the rapid development of the future web mapping technology in Web GIS in tourism development. It also highlights on the basic architecture and working principles of Map Mashups in context to tourism management. The final section of this research paper emphasizes on some issues and limitations inherent to the current Mashup technologies like privacy protection, copyright issues etc. which need to be worked out before its wider adoption.


2020 ◽  
Vol 34 (12) ◽  
Author(s):  
Lucas Hansen ◽  
Marco Flôres Ferrão

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