英语翻译3.ResultsThe results of factor analyses show that tourists’ spaceconsumption has a seasonal pattern in Estonia,and mobilepositioning data enables study of its space–timedynamic.The factor analysis of the matrix with thepositioning dat

英语翻译3.ResultsThe results of factor analyses show that tourists’ spaceconsumption has a seasonal pattern in Estonia,and mobilepositioning data enables study of its space–timedynamic.The factor analysis of the matrix with thepositioning dat
英语翻译
3.Results
The results of factor analyses show that tourists’ space
consumption has a seasonal pattern in Estonia,and mobile
positioning data enables study of its space–time
dynamic.The factor analysis of the matrix with the
positioning data of 387 days in 224 municipalities
determined 20 factors with distinguishable seasonal variance,
but only four factors have a significant data load
(Table 3).The rest of the factors (from 5 to 20) each
described less than 2.5% of the total variance,and have
limited spatial or temporal distribution.Load number 1
describes 27.4% of the total variance in data,load number
two 4.2%,load three 3.2% and load four 2.6%.
3.1.Summer tourism areas
The first set of variables that describe the seasonal
pattern of tourism,in almost 60 parishes in Estonia,
demonstrates the peak of the tourist season as arriving in
summer (Fig.5).The number of tourists in these
municipalities grows during the spring and falls during
the autumn.The high season is from 15 May to 10
September when the number of tourists in Estonia is higher
than the annual mean.Those summer tourism areas have a
very clear geography; they are predominantly on the Baltic
Sea coastline and the islands (Fig.6).The following regions
have the most clear pattern of summer tourism:
\2 Pa¨ rnu region.
\2 Haapsalu region.
\2 Saaremaa and Hiiumaa islands.
\2 Lahemaa National Park.
\2 Narva-Jo?esuu.(这些地名是爱沙尼亚文,不用翻译)
A notable number of parishes with summer tourism
activities (correlations of 0.5–0.6) are also concentrated in
popular inland regions such as the Otepa¨ a¨ uplands,which
has a landscape reserve and sporting activities,and the
town of Viljandi,which is a summer tourism magnet due to
the famous folk music festival at the end of July.The
parishes along the main highways connecting important
tourist routes also have a visible pattern of increased
tourism during the summer season.
The share of tourists in the main summer tourism regions
is similar,as shown for Pa¨rnu city in Fig.7A.The
holiday areas in western and northern Estonia have a
constant national composition in all seasons—dominated by
Finns and followed by Russians,Latvians and Swedes.The
Narva-Jo?esuu holiday region has a different national composition—
during the summer Russian tourists predominate
in the region,as this is a renowned resort for those from
St.Petersburg (Fig.7B).Latvians and Germans are also
present in noticeable numbers in southern Estonia and
Saaremaa island.
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英语翻译3.ResultsThe results of factor analyses show that tourists’ spaceconsumption has a seasonal pattern in Estonia,and mobilepositioning data enables study of its space–timedynamic.The factor analysis of the matrix with thepositioning dat
.results的因素细察的结果展示tourists’空间消 耗在爱沙尼亚有一季节性模式,和活动安放数据有助于研 究它的space?Ctime动力.随着安放数据387天的在 224个市中矩阵的因子分析决心20辨认季节性有分歧地做 代理商,但是仅四个因素有一重要数据负担((桌子3).其余 的因素((从5到20)每个描绘总有分歧的不到2.5%和已经限 制空间的或者时间的散发.负担1号描绘总有分歧在朝派数 据的27.4%,负担第二位的4.2%装载三3.2%和装载四 2.6%.3.1.观光季第一设定的变数,其描绘在爱沙尼亚几乎 60堂区中季节性模式的旅游业的夏天旅游业区域作为到来 在夏天((Fig. 5)证明高峰的.在这些市中观光客的数目在 秋天春天和降落成长.在爱沙尼亚观光客的数目是与年度 中间状态相比更高的旺季是从5月15日到9月10日.那些夏 天旅游业区域有一非常清楚地理;他们占主导地位地是在 波罗的海海岸线和岛((Fig. 6)上.下列的外省区被宣告无 罪模式的夏天旅游业让绝大部分: Pa¨ rnu地区.Haapsalu地区 .Saaremaa和Hiiumaa岛.Lahemaa国家公园 .Narva-乔吗 ?esuu.((这些地名是爱沙尼亚文,不用翻译) 一引人注意的随着夏天旅游业活动堂区((0.5?C0.6)的相互关系的数目是也集中在朝派 例如有一风景储备和体育运动的活动的Otepa¨ a¨高地和是a的Viljandi的城镇受欢迎内地的外省区在结束的时候七月使出名民间音乐节日由于旅游业磁铁度过夏天.在夏季季节沿着也连接重要观光客路线主要公路堂区有一增加旅游业的可见模式.如同展示那样, 份在主要夏天旅游业外省区中观光客为Pa¨rnu城市在朝派是相似