The use of GIS, mapping, and immersive technologies in the CanMars Mars Sample Return analogue mission; advantages for science interpretation and operational decision-making

Morse, Z. R.; Harrington, Elise M.; Hill, P. J. A.; Christoffersen, Peter; Newman, J. D.; Choe, Byung-Hun; Tornabene, L. L.; Caudill, C. M.; Osinski, G. R.

doi:10.1016/j.pss.2019.01.001

Cited by 8 publications

(2 citation statements)

References 8 publications

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“…The purpose of mapping is to understand more effectively, efficiently about the needs, characteristics, or different consumer behaviors that may require another product or marketing mix [16]. The advantage of mapping is designing products that are more responsive to market needs, making it easier for organizations to detect competitors in the group, find opportunities, master a superior and competitive position and determine effective and efficient communication strategies [17] [18].…”

Section: Clusteringmentioning

confidence: 99%

Analysis of Clusters Number Effect Based on K-Means Method for Tourist Attractions Segmentation

Jauhari

Anamisa

Mufarroha

2022

J. Phys.: Conf. Ser.

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The current development of tourism potential can have an impact on the implementation of regional autonomy. Madura is an island located at the northern tip of East Java Province, which has tourist attractions spread over four regencies, namely Bangkalan, Sampang, Pamekasan, and Sumenep. However, there are still many attractions that tourists have not touched. Therefore, the Madurese government tries to develop the existing potential. However, the development of this potential has not been carried out evenly by the government. This is due to the lack of grouping of data on the number of tourists, making it difficult for the tourism office to analyze the dominant visitor effect based on the variables that become characteristics in mapping the entrance ticket to increase the potential of tourism objects in Madura. There are 21 tourist objects in Bangkalan. There are several influencing factors to mapping, such as: Gender, age, occupation, education, and marital status. In this study, the admission ticket mapping system applies the K-Means method by dividing tourist objects into three groups including, (C1) high cluster, (C2) medium set, and (C3) low cluster. K-Means functions to map objects by mapping the analysis of data mining applications that can increase the number of tourist visits that impact the introduction of tourist objects and improve the country’s foreign exchange through the development of facilities and infrastructure.

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Section: Clusteringmentioning

confidence: 99%

Analysis of Clusters Number Effect Based on K-Means Method for Tourist Attractions Segmentation

Jauhari

Anamisa

Mufarroha

2022

J. Phys.: Conf. Ser.

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“…Once on Earth, the analysis campaigns will start with non-destructive analytical techniques due to the unique character of these samples and to the limited amount of each one, around 20 g. [3] The field operations to carry out data collection, selection of the interesting samples, and sampling procedure are very well-studied and published, mainly related to the CanMars MSR analog mission. [4][5][6][7][8][9] However, the studies related to the methodology for the analyses of the samples once on Earth are scarcer and specially focused on biosignature detection. There is a study related to the biosignature detection by Mars rover equivalent instruments in samples from the CanMars mission [10] and a few works regarding the stability of life molecules (e.g., amino acids and nucleosides) on Mars analog minerals.…”

Section: Introductionmentioning

confidence: 99%

Development of non‐destructive analytical strategies based on Raman spectroscopy and complementary techniques for Mars Sample Return tested on Northwest Africa 1950 Martian meteorite

Coloma

García‐Florentino

Huidobro

et al. 2022

J Raman Spectroscopy

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The Mars Sample Return (MSR) is a near future mission to return samples from the surface of Mars to the Earth. The field operations to carry out data collection, selection of the samples, and sampling procedure, mainly related to the CanMars MSR analog mission, are well‐studied and published. In contrast, studies related to the methodology implemented to characterize the mineralogy of the returned samples are scarcer and focused on biosignature detection. This work presents a non‐destructive analytical methodology based on Raman microscopy (single point and imaging), micro‐energy dispersive X‐ray fluorescence imaging analysis, and scanning electron microscopy coupled to energy dispersive spectroscopy that could be used as a first analytical characterization for the Martian samples that will be returned to the Earth in the upcoming MSR mission, before any destructive analysis. The analytical methodology has been tested on a fragment of the Northwest Africa 1950 Martian meteorite, which gives us a mineralogical characterization of the meteorite. This methodology also allowed to define several chemical reactions taking place in some of the mineral phases (olivines and ilmenite) of the meteorite. In addition to the geochemical characterization of the samples, the fact that this methodology allows to assess the chemical transformations in several minerals gives important clues for describing mineral processes and geological evolution that took place on Mars. This work also shows the advantages and disadvantages that each of the techniques employed has when performing a mineralogical characterization, the information that each one can provide and the importance of combining them.

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Geovisualization

Smith

Otto

Moore

et al. 2022

Treatise on Geomorphology

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The use of GIS, mapping, and immersive technologies in the CanMars Mars Sample Return analogue mission; advantages for science interpretation and operational decision-making

Cited by 8 publications

References 8 publications

Analysis of Clusters Number Effect Based on K-Means Method for Tourist Attractions Segmentation

Analysis of Clusters Number Effect Based on K-Means Method for Tourist Attractions Segmentation

Development of non‐destructive analytical strategies based on Raman spectroscopy and complementary techniques for Mars Sample Return tested on Northwest Africa 1950 Martian meteorite

Geovisualization

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