ผลการวิเคราะห์โครงสร้างเชิงพื้นที่(

ผลการวิเคราะห์โครงสร้างเชิงพื้นที่(Eigenvector)
The result analysis of the spatial pattern (Eigenvector) and principal component time series (PC's) are the first EOF mode


In this study it was found that the most dominant mode in the EOF analysis of the monthly rainfall anomalies over Thailand during 1971 to 2010 accounts for 21.6% of the total variance. Figure 1(a) shows the spatial pattern of the most dominant mode, and figure 1(b) shows the temporal variation of this mode. Since the values in the spatial pattern are strongly positive over most of Thailand, it follows that when the principal component (PC) in the time series is positive most of Thailand has higher than normal rainfall, and when the PC is negative most of Thailand has lower than normal rainfall. An exception to this result occurs in southern Thailand at latitudes below 9°N where the spatial pattern of the most dominant mode is only weakly positive.

ผลลัพธ์ (อังกฤษ) 1:

Effect analysis of complex structure area (Eigenvector)The result analysis of the spatial pattern (Eigenvector) and principal component time series (PC's) are the first EOF mode In this study it was found that the most dominant mode in the EOF analysis of the monthly rainfall anomalies over Thailand during 1971 to 2010 accounts for 21.6% of the total variance. Figure 1(a) shows the spatial pattern of the most dominant mode, and figure 1(b) shows the temporal variation of this mode. Since the values in the spatial pattern are strongly positive over most of Thailand, it follows that when the principal component (PC) in the time series is positive most of Thailand has higher than normal rainfall, and when the PC is negative most of Thailand has lower than normal rainfall. An exception to this result occurs in southern Thailand at latitudes below 9°N where the spatial pattern of the most dominant mode is only weakly positive.

ผลลัพธ์ (อังกฤษ) 2:

The analysis of the spatial structure (heavily traveled highways)
The Result analysis of The spatial pattern (heavily traveled highways) and Principal Component time Series (PC's) are The First EOF Mode In this Study it was Found that The Most Dominant Mode in The EOF analysis of The monthly. rainfall anomalies over Thailand during 1971 to 2010 accounts for 21.6% of the total variance. Figure 1 (a) shows the spatial pattern of the most dominant mode, and figure 1 (b) shows the temporal variation of this mode. Since the values ​​in. the spatial pattern are strongly positive over most of Thailand, it follows that when the principal component (PC) in the time series is positive most of Thailand has higher than normal rainfall, and when the PC is negative most of Thailand has lower than normal rainfall. . An exception to this result occurs in southern Thailand at latitudes below 9 ° N where the spatial pattern of the most dominant mode is only weakly positive.

ผลลัพธ์ (อังกฤษ) 3:

Analysis of spatial structure (Eigenvector)
The result analysis of the spatial pattern (Eigenvector) and principal. Component time series (PC 's) are the first EOF mode


In this study it was found that the most dominant mode in the EOF. Analysis of the monthly rainfall anomalies over Thailand during 1971 to 2010 accounts for 21.6% of the total variance.Figure 1 (a) shows the spatial pattern of the most dominant mode and figure, 1 (b) shows the temporal variation of this. Mode. Since the values in the spatial pattern are strongly positive over most of Thailand it follows, that when the principal. Component (PC) in the time series is positive most of Thailand has higher than, normal rainfallAnd when the PC is negative most of Thailand has lower than normal rainfall. An exception to this result occurs in southern. Thailand at latitudes below 9 ° N where the spatial pattern of the most dominant mode is only weakly positive.