Geographical Identification Research Articles

Research on the Construction Characteristics of Stone-Built Folk Houses in Jiarong Tibetan Area <br/>—Take the Stone-Built Houses in Xisuo Village as an Example

The Jiarong Tibetan traditional residence is a characteristic regional architecture, located in a high-intensity, high-altitude and cold area, with geographic identification, and is a typical representative of this ethnic group. It has also become an important tourist destination and has important research value. The research used the methods of field survey surveying and mapping to conduct field survey and surveying on 20 buildings in Xisuo Village, a traditional village in the Jiarong Tibetan area. Measure building plans, elevations, and building sections, and collect measurement data for statistical analysis. The results show that the average total height of the building is 10.08 m, the average total building span is 12.44 m, the average total depth is 10.87 m, and the squareness is 0.87. The square shape of the building is more in line with the seismic requirements of high-intensity areas and the local terrain environment. The maximum window-wall ratio in the building is 0.18 south for the second floor, and 0.025 west for the first floor. Smaller window-to- wall ratios have better adaptability to high-altitude cold areas. The height of the building beam section is generally from 0.17 m to 0.32 m, and the average Beam span-depth ratio is 0.10. The building space construction has a good match with the properties of wood materials. These conclusions quantitatively analyze the characteristics of stone-built houses in high-intensity, high-altitude and cold areas, supplement the research on ethnic regional architecture, and provide materials and references for the design, repair and update of related buildings.

Отражение ольфакторной культуры XIX века в произведениях Ф.М. Достоевского. Запах города на примере романа «Преступление и наказание»

The article is dedicated to the study of the smells of the city in the novel Crime and Punishment. The sense of smell, as well as vision or hearing, can transmit a significant amount of information. Being both a biological process and a cultural-historical phenomenon, smells reflect not only the immediate olfactory sensations and everyday reality, but also cause a number of cultural associations and emotional images. The historical meanings of smells that are specific to a particular culture are fixed in the public consciousness as evaluative categories for defining the widest range of concepts: “good – bad”, “useful – harmful”, “your own – stranger”, and so on. This property allows odors to be an important element of social relations and perform communicative functions. The communicative properties of smells are used in fiction for historical and geographical identification of the place of events, for characterization of characters, for creating the necessary atmosphere, for expressing the author’s position on a particular issue. To study the functions of smell in the works of F.M. Dostoevsky, the process of medicalization that took place in Russian urban culture in the second half of the XIX century is of no small importance. Popularization of scientific discoveries and dissemination of medical recommendations determined a number of important criteria for assessing the quality of life and formed the sanitary and hygienic standards for everyday life. The formation of household standards has led to a change in the social meaning of smells. This is reflected in the works of both F.M. Dostoevsky and his contemporaries. The article traces how everyday smells inherent in a particular social environment are extrapolated from the physical to the spiritual level.

New grape varieties for production of high-quality wines, and assessment methodology for varietal characteristics of the product

In recent years, Russian and international breeders have produced a great many of new varieties of Vitis vinifera grapes as well as interspecies hybrids, distinguished by a high quality of fruit and other useful economic and biological features. Having a big reserve of technologically important substances and hygienic factors of grapevine, the resistant varieties may prove especially efficient for the production of premium-class wines. The appearance of high-end Russian wines with protected geographical indication (PGI) and protected appellation of origin (PAO), first of all, fits in with the requirements of international markets. It is a necessary criterion for product quality and safety assurance at the highly competitive global market, and development of universally recognized brands. It also helps resolve a number of socio-economic issues, such as formation of winemaking culture, and production of wines of guaranteed quality from own grapes. This study is devoted to substantiating the necessity for development of methods of formation of single information databases on characteristic features of PGI and PAO wines, including their distinctive organoleptic, physical and chemical properties (extract components – the cation-anion composition, organic acids, total phenolic and anthocyanin content; unique colour characteristics), as well as the application of the system of organoleptic assessment of wines with the use of descriptive analysis of wine colour, flavour and taste. It is well-timed and relevant to determine the regularities of realization of the varietal potential of a grapevine plant in terms of climatic conditions of growing and geographical origin based on the study of the endogenous and exogenous components of wines with the use of the methods of high-performance capillary electrophoresis, spectral photometry, organoleptic analysis, and statistical techniques. This research generalizes and puts forth a contemporary view of varietal and geographical identification of wines. It is shown that the proposed research guideline is highly sought-after, and it is of fundamental and practical importance for the development of regional and national selection, genetic, viticultural and winemaking industries.

Geographical identification of Oryza sativa “MR 220CL” from Peninsular Malaysia using elemental and isotopic profiling

Indication of rice geographical origin is important in preventing food fraud issues and meets the consumers’ expectation for acquiring high quality food. This study examined the elemental and stable isotope compositions of rice samples from MR 220CL cultivar in order to distinguish the geographical origin. A total of 53 rice samples from Kedah (n = 27), Selangor (n = 20) and Langkawi (n = 6) were analyzed for elemental and stable isotope compositions. The instrumental neutron activation analysis was applied to determine the elemental concentrations of aluminum (Al), arsenic (As), bromine (Br), chlorine (Cl), potassium (K), magnesium (Mg), manganese (Mn), sodium (Na), rubidium (Rb) and zinc (Zn) whilst the stable isotopes of δ13Carbon (δ13C) and δ15Nitrogen (δ15N) were analyzed using isotope ratio mass spectrometry. The results showed that the concentrations of Al, As, Br, Cl, K, Mg, Na, Rb, Zn and isotopic values of δ13C and δ15N of the rice samples were significantly different (p < 0.05) between the three regions. The rice cultivar was classified into these regions using chemometrics approach of principle component analysis and linear discriminant analysis that achieved high accuracy of 98.1% correct classification. Rubidium and δ15N were shown as the effective indicators for rice from Langkawi, δ13C for rice from Kedah and As, Br, Cl, K, Mg, Na and Zn were the reliable markers for rice from Selangor. The internal and external validation tests of classification model also demonstrated satisfactory prediction accuracy of 96.2% and 84.6%, respectively. Therefore, the elemental compositions and stable isotopes have high potential to be utilized in authenticating the rice cultivar from different origins.

Assessment of Vibrational Spectroscopy Performance in Geographical Identification of Virgin Olive Oils: A World Level Study

AbstractIn order to guarantee food integrity, testing methods should also include the tools needed to verify the geographical origin described on the label. In the particular case of virgin olive oil (VOO), regulatory bodies have yet to establish a standard for geographical identification. This manuscript describes a procedure based on Raman spectroscopy to identify the provenance of these oils based on a classification criterion (European vs non‐European VOOs). The sample collection is considered a relevant step in which multiple factors are taken into account (cultivar distribution, complexity of production in each location, new agricultural practices, and new/old cultivars). A total of 78 virgin olive oils collected around the world allow checking the classification accuracy of the model for identifying sample origin. The PLS‐model built around the Raman spectroscopic data is validated with a blind set of samples, and the results are evaluated in terms of false negative and false positive quality parameters. This study provides an analytical application to detect mislabeling and fraudulent practices related to the geographical provenance of virgin olive oils declared on the labels.Practical Applications: The results of this study provide a robust mathematical model to assess the origin of virgin olive oils (EU vs non‐EU) based on spectroscopic data. Nowadays, the extensive knowledge of olive oil chemical composition has proven that this composition varies according to pedoclimatic conditions, while non‐targeted methods can be proposed in geographical traceability for their ability to analyze the chemical profile of samples. However, it was deemed necessary to conduct a study through a collaborative work initiative. Thus, this study provides a strict evaluation of Raman spectroscopy through a defined strategy for evaluating non‐targeted methods for geographical identification.

Genesis 1–11: A Narrative-Theological Commentary

Genesis 1–11: A Narrative-Theological Commentary

Navigation Safety for Marine Traffic in the Malacca Strait using AIS Data

The Malacca Strait experiences high-density vessel traffic, and therefore is a busy area with high potential for collisions. Analyses of marine traffic that reflect the real conditions of ship navigation are performed to enhance maritime traffic safety. An automatic identification system (AIS) allows for the accurate investigation of actual ship encounters, ship collisions, and sea traffic management systems. For this study, an AIS receiver installed at the Universiti Teknologi Malaysia (UTM) provided AIS data, which focused on a selected area in the Malacca Strait. The 1972 International Regulations for Preventing Collisions at Sea (COLREG) guided the assessment of navigation safety based on real conditions using AIS and geographic identification systems (GIS). Based on estimates of the probability and consequence indices from a risk matrix, the time and encounter conditions determined the level of risk. This study also conducted safety measurements. The analysis indicated that ship safety would improve significantly if the vessels followed the guidelines established in this study

The suitability of rare earth elements for geographical traceability of tea leaves.

Rare earth elements (REEs) have been used for the identification of the geographical origins of an increasing number of foods. This study analyzed the effects of geographical origin, harvest season, variety, and their interactions on REEs in tea leaves to investigate whether REEs were suitable for geographical identification of tea leaves. Tea leaves of different varieties and the corresponding soils were collected in different seasons from different areas of China. The concentrations of 14 REEs in tea leaves and soils were determined, and then analyzed with one-way analysis of variance (ANOVA), multi-way ANOVA, correlation analysis, and linear discriminant analysis. All factors significantly affected the contents of REEs in tea leaves. The concentrations of REEs in tea leaves were related to those in provenance soils. However, the concentrations of most REEs in tea leaves were primarily affected by the harvest season. Seasonal variations should be considered when REE fingerprinting is applied for the identification of tea for authentication purposes. © 2019 Society of Chemical Industry.

Balkan Bilingual Fairy Tales and Educational Activities

The geographic identification of the research concerns the Balkan countries. In particular, fairy tales were documented in local research in Florinas’ borders area. The language material we present refers to Balkan languages. According to the linguists (Ivan Colovic, 2003; Paul-Louis Thomas, 2002-2003), the Serbo-Croatian language is defined as a polycentric common language, a language spoken by many peoples in different states, with recognizable linguistic variants. In linguistics the Balkan language link or Balkansprachbund refers to the name given to similarities in the grammar, syntax, vocabulary and phonology of the Balkan languages, although belonging to different branches of the Indo-European language family, such as Greek, Latin, Albanian, and Slavic languages. Methodologically, we attempt the semiotics study of translation as an approach called translation semiotics: following Tzvetan Todorov, narrative is defined as a disturbance of balance, while as a myth the material of the story, which is narrated by a text. Thus, as researchers and as readers we take on the techniques of narration, plotting and myth. The aim is to highlight the common and different patterns in the Balkan fairy tales, resulting in the translation material itself as new narratives.

Mineral content of propolis tinctures in relation to the extraction time and the ethanol content of the extraction solvent

Propolis tincture is an extracted form of raw propolis with an extraction solvent, which can be used against several diseases and makes it a possible nutraceutical. Raw propolis is often the objective of geographical identification by its element content. It is harder to identify tinctures, because different production processes may influence the mineral content. Therefore the effect of the extraction time (1 h, 1 day, 1 week and 1 month) and the ethanol content (0, 50, 80 and 100% (v/v)) was checked and recorded based on the element content of the tinctures. The 33 elements were classified into 3 groups by their behaviour. Most of the elements dissolved better in water than in ethanol-content solvents. Essential elements were extracted well also in up to 80% (v/v) ethanol content solvents. The concentration of most of the elements did not change greatly after 1 week. Geographical identification can be applied to the tinctures by their element content.

Occurrence of spackled yellows agent of winter wheat. Pyrenophora triticirepentis in the Republic of Belarus and selection of sources of increased resistance to pathogen

From the point of view of economic efficiency and environmental impact in the country, the most profitable way to fight the Pyrenophora tritici-repentis agent is creation of highly resistant varieties, which is relevant and important in increasing crop gross yield and ensuring food security in the country. Pyrenophorosis (spackled yellows) is a relatively new disease of winter wheat in the Republic of Belarus. No aimed researches for occurrence monitoring, predominant racial composition, biological peculiarities of pathogen, search for resistance sources in the country were carried out, which collectively determined the relevance of the research topic. The paper presents results of study of spackled yellows agent occurrence of winter wheat leaves in the Republic of Belarus (2016-2018), as well as racial composition. Route examinations revealed disease in all the areas of the country, which indicates a potentially high risk of this disease. Analysis of racial composition showed that race No. 8 of spackled yellows pathogen prevails on the territory of the Republic of Belarus, No. 1 and No. 6 races occur insignificantly. Laboratory experiments were conducted to identify the best artificial nutrient medium, exposure at low temperatures to stimulate the pathogen sporulation in order to obtain high-quality inoculum necessary for artificial infection. Against background of artificial infection, the world and Belarusian collections of winter wheat were analyzed for resistance to pyrenophorosis Pyrenophora tritici-repentis (283 and 47 pieces, respectively). For three years of estimation, 28 variety samples of winter wheat with increased resistance to the disease were allocated from the world collection and 19 variety samples - from the Belarusian collection. It was determined that the greatest number of resistant samples to spackled yellows of winter wheat leaves come from Europe and Belarus in particular. Acknowledgments. Research was conducted as part of the state program of scientific research for 2016–2020 “Quality and efficiency of agro-industrial production”, subprogram “Agriculture and Selection”, task 6.13 “Study of species diversity of winter wheat of various ecological and geographical origin and identification of sources of resistance to the main pathogens”.

The immune suppressive microenvironment of human gliomas depends on the accumulation of bone marrow-derived macrophages in the center of the lesion

BackgroundSystemic and local immune suppression plays a significant role in glioma progression. Glioma microenvironment contains both brain-resident microglial cells (MG) and bone marrow-derived macrophages (BMDM), but the study of their functional and immune regulatory activity has been hampered until now by the lack of markers allowing a proper identification and isolation to collect pure populations.MethodsMyeloid and lymphoid infiltrate were characterized in grade II, III and IV gliomas by multicolor flow cytometry, along with the composition of the cell subsets of circulating myeloid cells. Macrophages were sorted and tested for their immunosuppressive ability. Moreover, following preoperative administration of 5-aminolevulinic acid to patients, distinct areas of tumor lesion were surgically removed and analyzed, based on protoporphyrin IX fluorescence emission.ResultsThe immune microenvironment of grade II to grade IV gliomas contains a large proportion of myeloid cells and a small proportion of lymphocytes expressing markers of dysfunctional activity. BMDM and resident MG cells were characterized through a combination of markers, thus permitting their geographical identification in the lesions, their sorting and subsequent analysis of the functional characteristics. The infiltration by BMDM reached the highest percentages in grade IV gliomas, and it increased from the periphery to the center of the lesion, where it exerted a strong immunosuppression that was, instead, absent in the marginal area. By contrast, MG showed little or no suppression. Functional differences, such as iron metabolism and phagocytosis, characterized resident versus blood-derived macrophages. Significant alterations in circulating monocytes were present in grade IV patients, correlating with accumulation of tumor macrophages.ConclusionsGrade IV gliomas have an alteration in both circulating and tumor-associated myeloid cells and, differently from grade II and III gliomas, show a significant presence of blood-derived, immune suppressive macrophages. BMDM and MG have different functional properties.

The geography of poverty: Review and research prospects

Geography of poverty (GOP) or poverty geography is a branch of human geography, which studies the geographical patterns, distribution characteristics, areal types and evolution mechanism of poverty and the relationship with geographical environment as well as antipoverty measures. Based on the systematical analysis on the significance of GOP research, this study firstly put forward the impoverished areal system (IAS), and then elaborated the main contents, research progresses and existing problems in GOP research, and finally proposed the possible key areas in the future. Results show that the IAS is an open system with structure and function and has its life-cycle law, which is composed of natural endowments, location conditions, human capital and geographical capital within a certain geographical area. The subsystem of human, land and industry is the core of the IAS. Poverty geography studies both regional (place) poverty and individual (people) poverty. Regional poverty is an external manifestation of the coupling maladjustment of human, land and industry elements in a particular area. There are 5W + H (What, Where, Why, When, Who and How) models in GOP research. Key areas of future GOP research include: 1) IAS's life cycle evolution law; 2) regional multidimensional poverty measurement; 3) geographical identification of poverty and its areal type; 4) dynamic simulation of impoverished and its mechanism; 5) poverty mapping; 6) antipoverty measure; and 7) poverty reduction effectiveness evaluation. Facing the UN's goal of eradicating poverty by 2030, poverty geography research in the new period should focus on the complexity, spatial heterogeneity and mechanism of poverty, and designs anti-poverty paths and models suitable for different countries. To adapt to the trend of globalization and informationization, poverty geographers should make use of modern technologies such as data platform, cloud computing, remote sensing and artificial intelligence to focus on the spatio-temporal pattern of poverty and its driving mechanism as well as antipoverty path, and to solve the global poverty problem and promote the internationalization, basification and engineering of geography.

Multidimensional Poverty in Rural China: Indicators, Spatiotemporal Patterns and Applications

Poverty remains one of the most serious chronic dilemmas facing civilization and economic development in the 21st century. How to accurately measure, identify and alleviate poverty have been urgent topics on different geographical scales for decades. Based on census data at the county level from 2000 to 2010 in China, principal component analysis was used to establish an integrated multidimensional poverty index (IMPI) for geographical identification of poverty-stricken counties using an indicators system guided by a sustainable livelihoods framework. Further cluster analysis, spatial analysis and a self-organizing map show obvious spatiotemporal heterogeneity of multidimensional poverty across the 2311 counties in China. The results demonstrate that the counties with higher IMPI are concentrated and conjointly distributed in southwest China, north of central China and southeast of northwest China in mountainous regions and plateaus. Longitudinal comparisons demonstrate that the degree of multidimensional poverty has relatively decreased across China from 2000 to 2010, but regional disparities continue to expand and new aspects are emerging. In addition, compared with 2000, the number of counties with multidimensional poverty in 2010 increased in northeast China and decreased in central China. Many counties have experienced generally increased levels in certain domains of poverty. The relative contribution of each indicator to the IMPI also provides important references for formulating and implementing poverty policy. Quantile regression was utilized to explore the application of the IMPI in assessing environmental inequality. The result indicates that many poverty-stricken and developed counties are exposed to poor air quality. The accurate identification of geographical and spatiotemporal patterns of poverty in China can lead to the implementation of anti-poverty strategies. This paper also offers new insights into poverty measurement for other developing countries.

LOGISTICS OF TOURISM IN THE LOGISTICS OF SERVICES STRUCTURE: THEORY AND PRACTICE OF THE URBAN TOURISM CASE

&#x0D; &#x0D; &#x0D; Theory and practice of tourism logistics in the logistics of services structure are opened. Essence of logistical integrated strategy of sustainable development of urban tourism, based on two concepts - tourism decentralization and reverse logistics is outlined. The first concept is based on logistical organization of the tourist space of the city, which includes such components as: geologistical (geographical and logistical) identification of the resource base of urban tourism; logistical planning of tourist flows and determination of their needs; logistical design of tourist infrastructure; logistical design of supply chains of tourist infrastructure. The second concept involves an integrated approach to the recycling of the total amount of urban waste, including tourist one, taking into account their collection and removal from the city, as well as processing at special enterprises. The experience of Ukrainian cities of Lviv and Kyiv in this context is considered.&#x0D; &#x0D; &#x0D;

Urban-rural relations around the agri-food supply between Ocaña and the municipalities of Catatumbo, as a prospective proposal to the City-Region of Ocaña

The objective of the study was to identify the urban-rural relations around the agri-food supply between Ocaña and the municipalities of Catatumbo, starting from the geographic identification, products and quantity of food that arrive at the municipal supply center to develop a cartographic representation as the prospective proposal of the City Region of Ocaña. The methodology focused first on the realization of a census in the market place and then to carry out a survey in the supply center of the city. Within the results obtained, it was possible to find that the agro-food relation of Ocaña with the municipalities of Catatumbo is composed of the following municipalities: Teorama, San Calixto, El Carmen, Rio de Oro, Otaré, La Playa, Hacarí, Gonzales, Convention, Abrego and El Tarra. This provide 88.9% of the food arriving in the central market of the city of Ocaña. With the above data, a cartography was generated in which Ocaña’s relationship with rural areas is represented, for a city-region proposal.

Using spatial analysis to examine best placement of electronic benefit transfer services at farmers' markets in Honolulu County, Hawaii, USA.

Farmers' market interventions are a popular strategy for addressing chronic disease disparities in low-income neighbourhoods. With limited resources, strategic targeting of interventions is critical. The present study used spatial analysis to identify where market interventions have the greatest impact on healthy food access within a geographic region. All farmers' markets in a mixed urban/rural county were mapped and those that accepted Supplemental Nutrition Assistance Program (SNAP) electronic benefit transfer (EBT) cards identified. Households were grouped into small neighbourhoods and mapped. The area of 'reasonable access' around each market (walking distance (0·8 km; 0·5mile) in urban areas, driving distance (15 min) in rural areas) was calculated using spatial analysis. The percentage of county low-income households within a market's access area, and the percentage of county SNAP-participating households within an EBT-accepting market's access area, were calculated. The ten neighbourhoods with the most low-income households and with the most SNAP-participating households were then identified, their access areas calculated and mapped, and those lacking access identified. County-level gains resulting from improving market accessibility in these areas were calculated. None. Honolulu County, Hawaii, USA. Only 44 % of SNAP-participating households had EBT-market access. Six of the ten highest SNAP-participant neighbourhoods lacked access. Improving access for these neighbourhoods increased county-level access by 23 %. Market access for low-income households was 74 %. Adding markets to these low-income neighbourhoods without market access increased county-level access by 4 %. Geographic identification of market access demographics, and strategic targeting of EBT interventions, could improve regional access to healthy foods.

Understanding Infrastructure Resiliency in Chennai, India Using Twitter’s Geotags and Texts: A Preliminary Study

Geotagging is the process of labeling data and information with geographical identification metadata, and text mining refers to the process of deriving information from text through data analytics. Geotagging and text mining are used to mine rich sources of social media data, such as video, website, text, and Quick Response (QR) code. They have been frequently used to model consumer behaviors and market trends. This study uses both techniques to understand the resilience of infrastructure in Chennai, India using data mined from the 2015 flood. This paper presents a conceptual study on the potential use of social media (Twitter in this case) to better understand infrastructure resiliency. Using feature-extraction techniques, the research team extracted Twitter data from tweets generated by the Chennai population during the flood. First, this study shows that these techniques are useful in identifying locations, defects, and failure intensities of infrastructure using the location metadata from geotags, words containing the locations, and the frequencies of tweets from each location. However, more efforts are needed to better utilize the texts generated from the tweets, including a better understanding of the cultural contexts of the words used in the tweets, the contexts of the words used to describe the incidents, and the least frequently used words.

Spatial analysis for bovine viral diarrhea virus and bovine herpesvirus type 1 infections in the state of Para\xedba, northeastern Brazil

BackgroundBovine Viral Diarrhea Virus (BVDV) and Bovine Herpesvirus type 1 (BoHV-1) cause reproductive problems in cattle and restrictions on international trade in animals worldwide. Both infections were detected in cattle herds in the Paraíba state, Northeastern Brazil, however, the spatial distribution and geographic identification of positive herds for these viruses has never been examined. Therefore, the aim of this study was to describe the spatial pattern of apparent prevalence estimate and to identify spatial clustering of positive herds of BVDV and BoHV-1 infections in cattle herds from the state of Paraíba, Northeastern Brazil.ResultsThe herd-level prevalence for BVDV and BoHV-1 infections in Paraíba were, respectively, 65.5% (95% CI: 61.1–69.7) and 87.8% (95% CI: 84.5–90.5). The average apparent within-herd prevalence of BVDV was 31.8% and of BoHV-1 was 62.4%. The predicted prevalence was highest (0.42–0.75) for BVDV in the west, north and eastern part of Sertão and in the central and eastern part of Agreste/Zona da Mata. For BoHV-1, the highest predicted prevalence (0.74–0.97) was in some local areas across Sertão and throughout the eastern part of Agreste/Zona da Mata. Six significant clusters were detected for BVDV, a primary cluster covering the eastern Sertão region, with 11 herds, radius of 24.10 km and risk relative (RR) of 2.21 (P < 0.001) and five smaller significant clusters, involving one or two herds in Agreste/Zona da Mata region with a high RR. A significant clustering of BoHV-1 positive herds (P < 0.001) was detected in Agreste/Zona da Mata region with a radius of 77.17 km and a RR of 1.27, with 103 cases. Consistency was found between kriging and SatScan results for identification of risk areas for BVDV and BoHV-1 infections.ConclusionsThe clusters detected contemplated different areas of the state, with BVDV cluster located in the Sertão and BoHV-1 in Agreste/Zona da Mata stratum. Through the risk mapping, it was possible to identify the areas in which the risk is significantly elevated, coincided with areas where there are borders with other states and in which there is a high movement of animals.

Geographic identification of Boletus mushrooms by data fusion of FT-IR and UV spectroscopies combined with multivariate statistical analysis

Boletus griseus and Boletus edulis are two well-known wild-grown edible mushrooms which have high nutrition, delicious flavor and high economic value distributing in Yunnan Province. In this study, a rapid method using Fourier transform infrared (FT-IR) and ultraviolet (UV) spectroscopies coupled with data fusion was established for the discrimination of Boletus mushrooms from seven different geographical origins with pattern recognition method. Initially, the spectra of 332 mushroom samples obtained from the two spectroscopic techniques were analyzed individually and then the classification performance based on data fusion strategy was investigated. Meanwhile, the latent variables (LVs) of FT-IR and UV spectra were extracted by partial least square discriminant analysis (PLS-DA) and two datasets were concatenated into a new matrix for data fusion. Then, the fusion matrix was further analyzed by support vector machine (SVM). Compared with single spectroscopic technique, data fusion strategy can improve the classification performance effectively. In particular, the accuracy of correct classification of SVM model in training and test sets were 99.10% and 100.00%, respectively. The results demonstrated that data fusion of FT-IR and UV spectra can provide higher synergic effect for the discrimination of different geographical origins of Boletus mushrooms, which may be benefit for further authentication and quality assessment of edible mushrooms.