scholarly journals Multi-trait Analysis of Agroclimate Variations During the Growing Season in East-Central Poland (1971-2005)

2015 ◽  
Vol 29 (2) ◽  
pp. 213-219 ◽  
Author(s):  
Elżbieta Radzka ◽  
Katarzyna Rymuza
Keyword(s):  
Principal Component Analysis ◽  
Air Temperature ◽  
Meteorological Data ◽  
Principal Component ◽  
Growing Season ◽  
Component Analysis ◽  
The South ◽  
East Central ◽  
Central Poland ◽  
The North

Abstract The work is based on meteorological data recorded by nine stations of the Institute of Meteorology and Water Management located in east-central Poland from 1971 to 2005. The region encompasses the North Podlasian Lowland and the South Podlasian Lowland. Average values of selected agroclimate indicators for the growing season were determined. Moreover, principal component analysis was conducted to indicate elements that exerted the greatest influence on the agroclimate. Also, cluster analysis was carried out to select stations with similar agroclimate. Ward method was used for clustering and the Euclidean distance was applied. Principal component analysis revealed that the agroclimate of east-central Poland was predominantly affected by climatic water balance, number of days of active plant growth, length of the farming period, and the average air temperature during the growing season (Apr-Sept). Based on the analysis, the region of east-central Poland was divided into two groups (areas) with different agroclimatic conditions. The first area comprized the following stations: Szepietowo and Białowieża located in the North Podlasian Lowland and Biała Podlaska situated in the northern part of the South Podlasian Lowland. This area was characterized by shorter farming periods and a lower average air temperature during the growing season. The other group included the remaining stations located in the western part of both the Lowlands which was warmer and where greater water deficits were recorded.

scholarly journals Principal Component Analysis of the Potential for Increased Rail Competitiveness in East-Central Europe

2019 ◽  
Vol 11 (15) ◽  
pp. 4181 ◽  
Author(s):  
Szabolcs Duleba ◽  
Bálint Farkas
Keyword(s):  
Principal Component Analysis ◽  
Latent Variable ◽  
Structural Changes ◽  
Principal Component ◽  
Component Analysis ◽  
Factor Space ◽  
Market Liberalization ◽  
East Central Europe ◽  
East Central ◽  
Rail Freight

Increased rail competitiveness has been the objective of many countries around the world, including member states of the EU. Although railway market liberalization has always been accompanied by high expectations of increased efficiency and competitiveness, the overall impact of such decisions can be considered controversial. This paper aims to contribute to the scientific debate by conducting a factor analysis of some East-Central European countries from the aspect of rail freight competitiveness. Since many highly correlated factors influence competitiveness, its mathematical–statistical representation and analysis is difficult due to the high number of dimensions of the factor space. Moreover, competitiveness cannot be measured directly only as a latent variable which is a feature of Principal Component Analysis (PCA). The introduced PCA, model by way of reducing the number of dimensions, can highlight the relations among the attributes and determine the most crucial issues capable of increasing rail competitiveness in the given countries and also of clustering those national railway markets. Recommendations for structural changes in national rail freight markets of the region are also supplied. Our results show that international rail competitiveness depends rather on market efficiency than on market liberalization due to the fact that the Global Competitiveness Index and Export/Import attributes did not significantly correlate with market concentration. As for the larger domestic rail freight sectors, small freight forwarders—spawned by liberalization—are shown to play a significant role in increasing competitiveness.

scholarly journals Penggunaan Analisis Komponen Utama Dalam Penggabungan Data Peubah Ganda pada Kasus Produksi Pertanian dan Perkebunan Di Wilayah Bolaang Mongondow Tahun 2008

d'CARTESIAN ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
Sunarsi Habib Abdurrachman ◽  
Hanny Komalig ◽  
Nelson Nainggolan
Keyword(s):  
Principal Component Analysis ◽  
Initial Data ◽  
Principal Components ◽  
Multivariate Data ◽  
Secondary Data ◽  
Principal Component ◽  
Component Analysis ◽  
The North ◽  
North Sulawesi ◽  
Production Agriculture

Abstract The objective of this research is to study the combine the two groups of data with multivariate variables using Principal Component Analysis. The data used in this study is a secondary data drawn from the North Sulawesi BPS data in Production Agriculture and Plantation Bolaang Mongondow region in 2008. The results show that PCA can be used to combining two separate groups multivariate data and the correlation between the Principal Components of the data are combined with the Principal Component of the overall initial data (intact) is relatively high wich correlation between PC1 and PC1AB as big 0,987 and correlation between PC2 and PC2AB as big 0,916. Keywords : Principal Component Analysis, Agriculture Production and Plantation Abstrak Tujuan penelitian ini adalah menggabungkan dua gugus data peubah ganda dengan menggunakan Analisis Komponen Utama. Data yang digunakan dalam penelitian ini merupakan data sekunder yang diambil dari BPS Sulawesi Utara yakni Data Produksi Pertanian Dan Perkebunan Di Wilayah Bolaang Mongondow Tahun 2008. Hasilnya menunjukkan bahwa AKU dapat digunakan untuk menggabungkan dua gugus data peubah ganda yang terpisah dan korelasi antara komponen utama dari data yang digabungkan dengan komponen utama dari keseluruhan data awal (utuh)  relatif tinggi yakni dengan nilai korelasi PC1 dan PC1AB sebesar 0,987 dan PC2 dan PC2AB  sebesar 0,916.   Kata kunci : Analisis Komponen Utama, Produksi Pertanian dan Perkebunan

scholarly journals PARAMETER FISIKA, KIMIA, DAN BIOLOGI PENCIRI HABITAT IKAN BELIDA (Chitala lopis)

2017 ◽  
Vol 15 (1) ◽  
pp. 13
Author(s):  
Arif Wibowo ◽  
Mas Tri Djoko Sunarno ◽  
Safran Makmur
Keyword(s):  
Principal Component Analysis ◽  
Discriminant Analysis ◽  
Dissolved Oxygen ◽  
Air Temperature ◽  
Oxygen Demand ◽  
Principal Component ◽  
Environmental Parameters ◽  
Component Analysis ◽  
Biological Oxygen Demand ◽  
Total Dissolved Solid

Penelitian mengenai parameter fisika, kimia, dan biologi penciri habitat ikan belida (Chitala lopis) dilakukan tahun 2005 - 2006 di perairan umum daratan di Sumatera, Kalimantan, dan Jawa. Tujuan nya adalah untuk mendapatkan informasi parameter lingkungan yang menjadi karakteristik habitat ikan belida dari berbagai badan air di Jawa, Sumatera, dan Kalimantan. Metode survei dan kegiatan laboratorium digunakan dalam penelitian ini. Parameter lingkungan yang diamati meliputi suhu udara, suhu air, Total Dissolved Solid (TDS), Daya Hantar Listrik (DHL), klorofil-a, kecepatan arus, Biological Oxygen Demand (BOD), oksigen terlarut, pH, alkalinitas, CO2 bebas, kedalaman air, dan kecerahan pada 116 lokasi pengambilan yang ditentukan secara sengaja di Sungai Tulang Bawang (Provinsi Lampung), Sungai Kampar, Sungai Siak (Provinsi Riau), Sungai Musi (Provinsi Sumatera Selatan), Sungai Citarum (Provinsi Jawa Barat), Sungai Kapuas (Provinsi Kalimantan Barat), dan Waduk Riam Kanan (Provinsi Kalimantan Selatan). Analisis data menggunakan pendekatan analisis multivariabel regresi berganda Metode Backward yang didasarkan pada Analisis Komponen Utama (Principal Component Analysis) dan pembeda (Discriminant Analysis), serta korespondensi analisis (correspondency analysis). Hasil penelitian menunjukkan habitat ikan belida dapat dibedakan menjadi tiga tipe, yaitu tipe yang menyerupai sungai utama, waduk, dan anak sungai. Pembeda utama sekaligus parameter lingkungan utama adalah parameter TDS yang paling besar, dan selanjutnya parameterparameter DHL, suhu udara, klorofil-a, kecepatan arus, BOD, Oksigen terlarut, pH, alkalinitas, dan CO2 bebas menyumbang yang paling sedikit. Kehadiran plankton genus Ulothrix dan Mytilina secara tidak langsung teridentifikasi sebagai penciri habitat spesifik ikan belida. Research on physical, chemical, and biological parameters indicating specific habitat of clown knife fish (Chitala lopis) was carried out at 2005 - 2006 in inlands waters of Sumatera, Borneo, and Java. This study purposed to obtain information of environmental parameters indicating habitat characteristic of the knife fish in various inland waters bodies in Sumatera, Borneo, and Java. Survey method and laboratory activities were employed in this research. Environmental parameters observed were air temperature, water temperature, Total Dissolved Solid (TDS), conductivity, water velocity, Biological Oxygen Demand (BOD), dissolved oxygen, pH, alkalinity, free C02, water depth, and water transparancy taken on 116 sampling stations distributing in Tulang Bawang River (Lampung Province), Kampar and Siak River (Riau Province), Musi River (South Sumatera Province), Kapuas River (West Kalimantan Province), Riam Kanan Reservoar (South Kalimantan Province), and Citarum River (West Java Province). Data analysis used multivariate approach of multiple regression of Backward Method such as Principal Component Analysis, Discriminant Analysis, and Corre spondency Analysis. The results showed that the clown knife fish habitats could be divided by three types of specific habitat, namely water bodies similar with main rivers, reservoir, and tributaries. Parameter of TDS indicated the primary differentization as well as habitat characteristics of the clown knife fish.Whilst the parameters of conductivity, air temperature, chlorophyill-a, water current, BOD, dissolved oxygen, pH, alcalinity, and free CO2 contributed less significance. The existence of plankton from genus Ulothrix and Mytilina was identified indirectly as the specific habitat of the clown knife fish.

Principal component analysis of air temperature in Belgium

1992 ◽  
Vol 45 (1) ◽  
pp. 61-63 ◽  
Author(s):  
R. Sneyers ◽  
M. Vandiepenbeeck ◽  
R. Vanlierde
Keyword(s):  
Principal Component Analysis ◽  
Air Temperature ◽  
Principal Component ◽  
Component Analysis

scholarly journals Morphological variability of evergreen oaks (Quercus) in Turkey

2017 ◽  
Vol 24 (1) ◽  
pp. 39-47 ◽  
Author(s):  
Yilmaz Aykut ◽  
Uslu Emel ◽  
Babaç M. Tekin
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Morphological Variability ◽  
Principal Component ◽  
Component Analysis ◽  
The South ◽  
Plant Taxon ◽  
Evergreen Oaks

The genus Quercus L. has a problematic taxonomy because of widespreadhybridization among them. Evergreen Quercus contain three species in section Ilex Loudon namely, Q. ilex L., Q. coccifera L. and Q. aucheri Jaub. et Spach in Turkey. Here, two species, Q. coccifera and Q. aucheri are usually confused with each other. However, Q. coccifera and Q. calliprinos are accepted as different species but this subject is still controversial. Morphometric leaf and fruit variations of Q. ilex, Q. coccifera and Q. aucheri in 26 populations were measured for 25 characters. Variations within and among populations of species were detected by cluster analysis and principal component analysis. This study shows that populations of Q. coccifera from the south region of Turkey form a second group within Q. coccifera. Secondly, Q. coccifera show more similarity to Q. aucheri than Q. ilex, and finally there are two groups within Q. coccifera, which may be evaluated as Q. coccifera and Q. calliprinos.Keywords: Ilex; Morphometric, UPGMA; Turkey.Bangladesh J. Plant Taxon. 24(1): 39–47, 2017 (June)

scholarly journals APPLICATION OF PRINCIPAL COMPONENT ANALYSIS TO DROUGHT INDICATORS OF THREE REPRESENTATIVE CROATIAN REGIONS

2021 ◽  
Vol 12 (22) ◽  
pp. 41-55
Author(s):  
Lidija Tadić ◽  
◽  
Tamara Brleković ◽  
Kristina Potočki ◽  
Marija Leko-Kos ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Air Temperature ◽  
Principal Component ◽  
Component Analysis ◽  
Homogeneity Test ◽  
Temperature And Precipitation ◽  
Standard Normal Homogeneity Test ◽  
Seasonal Basis ◽  
The Impact ◽  
Drought Occurrence

Drought has become a very frequent hydrological event globally, including in Croatia. It can generally be explained by air temperature and precipitation changes on an annual and seasonal basis, owing to climate change. To contribute to the knowledge on drought phenomena in Croatia, the changes in air temperature and precipitation over a relatively long period between 1951 and 2018 were analyzed. The meteorological stations included in the research were Osijek, Zagreb, and Split, which represented the climate of the entire country. Drought was estimated using the standardized precipitation evapotranspiration index, which is one of the most comprehensive drought indices. Furthermore, the drought severity and duration were calculated using run theory. These parameters were tested for homogeneity using the standard normal homogeneity test. Only the air temperature exhibited inhomogeneity, with a break year in 1991 (Zagreb and Split) and 1998 (Osijek). The existence of significant temporal trends was tested using the non-parametric Mann–Kendall trend test. The probability of drought occurrence with a certain duration and severity was calculated using the copula function. Finally, principal component analysis was applied to the computed standardized Mann–Kendall test statistic (ZMK ) to define the relevance of each parameter change and their combination in drought occurrence on a seasonal basis. Drought occurrence was less recognizable from 1951 to 1991 (1998). In the second sub-period, the impact of an increasing air temperature was the most significant variable, particularly in Zagreb.

scholarly journals THE KEY FEATURES OF THE CURRENT CLIMATE CHANGE IN THE REPUBLIC OF BELARUS

2020 ◽  
Vol 3 ◽  
pp. 22-41
Author(s):  
S.A. Lysenko ◽  
◽  
I.V. Buyakov ◽  
Keyword(s):  
Climate Change ◽  
Air Temperature ◽  
Heat Waves ◽  
Growing Season ◽  
Potential Evaporation ◽  
The South ◽  
The North ◽  
The Republic ◽  
Sum Of Active Temperatures

This paper investigates spatial and temporal features of the climate change in the Republic of Belarus during the period from 1960 to 2019. To accomplish this, we used data on daily average surface air temperature and applied decomposing the time series of these data with singular-spectrum analysis. We analyzed the principal components and long-term average anomalies of average annual, winter and summer air temperatures, the number of frosty days in the cold season and the number of winter days with thaws, the duration and heat supply of the growing season, as well as the frequency and intensity of heat waves. We also estimated the rates of moving the annual sum of active temperatures and the duration of the growing season from the south to the north of Belarus as a result of global warming. The ERA5 reanalysis estimates the spatial and temporal changes in the balance between annual rainfall and potential evaporation from 1980 to 2019. The average annual air temperature in 2000-2019 is shown to be exceeded the long-term average of this value by 1.8° C. The annual sum of active temperatures moves northward at an average speed of 120 km in 10 years with acceleration. Over the past 20 years, the rate of this displacement has doubled in comparison with the period 1980-2000. The length of the growing season moves from the south to the north at a speed of about 110 km per 10 years. It is shown that an increase in potential evaporation due to air warming when slightly changing annual amount of precipitation leads to aridization of the climate of Belarus emitting a reduction in the duration of the cold period with a simultaneous increase in the number of thaws does not contribute to the replenishment of water reserves during snowmelt. Additional damage to forestry and agriculture might be caused by heat waves, the frequency of which for 2000-2019 increased by a factor of 4 compared to the previous 20-year period. Additional damage to forestry and agriculture might be caused by heat waves, which frequency during last 19 years increased by a factor of 4 compared to the previous 20 years.

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