GIS-Aided Evolvement Analysis of Spatial-Temporal Pattern of Regional Tourism Industry Environment

2013 ◽  
Vol 726-731 ◽  
pp. 4690-4693
Author(s):  
Hong Yang ◽  
Xiao Ya Dong ◽  
Min Wang ◽  
Yu Guo
Keyword(s):  
Spatial Autocorrelation ◽  
Temporal Pattern ◽  
Spatial Cluster ◽  
Tourism Industry ◽  
Regional Tourism ◽  
Industry Environment ◽  
Spatial Weight ◽  
Tourism Economy ◽  
Global Spatial Autocorrelation ◽  
Local Spatial Autocorrelation

Regional tourism is a part of China's economic income. It is of great significance for tourism economy development to study spatial-temporal evolvement. This study analyzed time-based characteristics and spatial cluster characteristics through methods including Spatial Weight Matrix, global spatial autocorrelation (Morans I) statistic, spatial Statistics (Getis-Ord Gi*) and local spatial autocorrelation calculations. Results show that the overall spatial autocorrelation model changed slowly from negative (-0.05) to positive (0.08) while eastern part of study area clustered as hotspot and western part clustered as coldspot. It can be concluded that the spatial distribution pattern of the tourism economy in study area from 2002 to 2007 was increasingly clustered and the tourism development of each units in study area will be much more spatially inter-dependent.

Evaluation and Statistical Analysis on the Centrality Indexes of Tourism Central City in the Central Liaoning Urban Clusters

2010 ◽  
Vol 171-172 ◽  
pp. 671-674
Author(s):  
Zhi Xin Ma ◽  
Xuan Liu
Keyword(s):  
Central City ◽  
Principal Component ◽  
Tourism Industry ◽  
Principal Component Score ◽  
Tourism Planning ◽  
Central Cities ◽  
Regional Tourism ◽  
Tourism Destinations ◽  
Tourism Economy ◽  
Score Matrix

This paper took 8 tourism central cities in central Liaoning urban clusters as an example, chose 7 indicators to analyze the centrality indexes of the tourism destinations and study the development of regional tourism industry. It firstly made a principal component analysis, then used the extracted principal components as a new integrated variable, the principal component score matrix as the new integrated variable data to make a cluster analysis through the software SPSS. From the perspective of tourism planning, the paper finally determines to establish a system of tourism central cities: Shenyang isⅠ-class tourism central city, Anshan, Fushun and Benxi are Ⅱ-class tourism central cities, Yingkou, Fuxin, Liaoyang and Tieling are Ⅲ-class tourism central cities, and provides the basis for distribution of the regional tourism economy in central Liaoning.

Circular Economy Perspective Research Wanlu Lake Eco-Tourism Industry Gathering Area for Innovation and Development

2014 ◽  
Vol 962-965 ◽  
pp. 2301-2309 ◽  
Author(s):  
Ying Zhang
Keyword(s):  
Circular Economy ◽  
Guangdong Province ◽  
Tourism Industry ◽  
Scale Economy ◽  
Industrial Scale ◽  
Regional Tourism ◽  
Ecological Barrier ◽  
Tourism Economy ◽  
Innovation And Development

As an innovative form of tourism industry transformation, Eco-tourism Industry Gathering Area is beneficial to tourism industrial scale economy, rich regional tourism brands, promote local tourism economy. In this paper, Case Study Wanlu lake Eco-tourism industry Gathering area is ecological barrier of Guangdong Province, analyze the development of Eco-tourism industry, and Analysis the circular economy, ecology, Wisdom Tour, put forward of Eco-tourism innovative and development .

scholarly journals Implications of COVID-19 Induced Lockdown on the South African Tourism Industry and Prospects for Recovery

2021 ◽  
Vol 10(1) (10(1)) ◽  
pp. 270-287
Author(s):  
Kaitano Dube
Keyword(s):  
South Africa ◽  
Financial Aid ◽  
South African ◽  
Document Analysis ◽  
Tourism Industry ◽  
Public And Private ◽  
Regional Tourism ◽  
Special Events ◽  
Tourism Economy ◽  
The Impact

South Africa has one of the largest and most developed tourism markets in Southern Africa. Consequently, the sector's performance, therefore, has implications on the regional tourism market. In the advent of COVID-19, South Africa emerged as one of the global and regional epicentres of coronavirus infections. In March 2020, South Africa was one of the countries that adopted hard lockdown measures to control the pandemic. The consequent sealing off of the country’s ports brought the tourism industry to a sudden halt. This study is aimed at examining the impact and potential reopening strategies that the tourism industry can adopt in South Africa. The study is based on critical document analysis of survey reports from South Africa’s National Department of Tourism, Stats SA, Google Mobility and other authoritative, relevant sources. The study concludes that the pandemic had a devastating impact on various sectors of the tourism economy. The most devastating industries include the aviation, maritime, special events, accommodation and attraction sectors. The sudden halting of the tourism industry threatened conservation efforts and the business viability of many tourism establishments. Consequently, public and private airlines were liquidated or placed under business administration with far-reaching implications for various destinations and travel sectors. The study recommends a well-engineered financial aid package for the region's tourism industry, reduced tourism levies and taxes backed by the adoption of stringent health protocols to help the industry recover and make travel appealing and attractive again. A robust vaccination program must support such efforts.

scholarly journals A statistical analysis of regional variation in adverb position in a corpus of written Standard American English

2012 ◽  
Vol 8 (1) ◽  
pp. 39-72 ◽  
Author(s):  
Jack Grieve,
Keyword(s):  
Spatial Autocorrelation ◽  
American English ◽  
The United States ◽  
Letters To The Editor ◽  
Regional Patterns ◽  
Standard American English ◽  
South Central ◽  
Grammatical Variation ◽  
Global Spatial Autocorrelation ◽  
Local Spatial Autocorrelation

AbstractThis paper investigates whether the position of adverb phrases in sentences is regionally patterned in written Standard American English, based on an analysis of a 25 million word corpus of letters to the editor representing the language of 200 cities from across the United States. Seven measures of adverb position were tested for regional patterns using the global spatial autocorrelation statistic Moran's I and the local spatial autocorrelation statistic Getis-Ord Gi*. Three of these seven measures were indentified as exhibiting significant levels of spatial autocorrelation, contrasting the language of the Northeast with language of the Southeast and the South Central states. These results demonstrate that continuous regional grammatical variation exists in American English and that regional linguistic variation exists in written Standard English.

scholarly journals Integration as a Tool of Destination Management - The Case of Rural and Rural Fringe Areas

Organizacija ◽  
2008 ◽  
Vol 41 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Emil Juvan ◽  
Rok Ovsenik
Keyword(s):  
Capital Structure ◽  
Organizational Structure ◽  
Sustainable Tourism ◽  
Business Environment ◽  
Tourism Industry ◽  
Successful Implementation ◽  
Tourist Destinations ◽  
Regional Tourism ◽  
Tourism Economy ◽  
Proven Method

Integration as a Tool of Destination Management - The Case of Rural and Rural Fringe AreasIt is well known that the organizational structure of the Slovenian tourism industry is changing. Tourist companies are merging, but unfortunately only a few companies empowered their capital structure and market position, so in a way we can talk about an oligopoly. The situation does not favor rural and rural fringe areas, where an underdeveloped tourism economy cannot represent a solid source of income for many tourist farms and other tourist companies. Integration is a scientifically and professionally proven method for empowering businesses. Integrative destination management, which provides the tool for tourist destinations development, aims at sustainable tourism where the community collectively develops and runs the tourism economy. This paper examines the possibilities for the development of business integration as a basis for the successful implementation of destination management in the Mislinja Valley. A survey has been conducted, where two thirds of the tourist companies in the area were investigated in relation to the destination management and tourism opportunities in the area. Analysis shows that the business environment accepts the idea of integration as a tool for empowering the regional tourism industry, however only interest integration appeares to be acceptable at this time.

Empirical Study on Performance Evaluation of Regional Tourism in China

2011 ◽  
Vol 55-57 ◽  
pp. 1986-1991
Author(s):  
Tie Qun Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Comprehensive Evaluation ◽  
Tourism Industry ◽  
Analysis Method ◽  
Regional Tourism ◽  
Development Level ◽  
Great Consistency ◽  
Domestic Tourism ◽  
Tourism Economy

China's tourism industry has become the most active one in tertiary industries. This paper analyzes the economic growth effects of tourism, and makes a comprehensive evaluation on the domestic tourism development strength in provinces and cities by means of factor analysis method. The results show that there is two-way causal relationship between economic growth and domestic tourism, economic development level of regional tourism in general has great consistency with the overall level of regional economic development, and the scale of tourism economy plays a very important role in tourism economic performance.

scholarly journals Spatial Dimension of Unemployment: Space-Time Analysis Using Real-Time Accessibility in Czechia

2020 ◽  
Vol 9 (6) ◽  
pp. 401 ◽  
Author(s):  
Pavlína Netrdová ◽  
Vojtěch Nosek
Keyword(s):  
Spatial Autocorrelation ◽  
Real Time ◽  
Spatial Dimension ◽  
Space Time ◽  
Spatial Weights ◽  
Spatial Weight ◽  
Unemployment Data ◽  
Global And Local ◽  
Municipal Level ◽  
Local Spatial Autocorrelation

This paper focuses on the analysis of unemployment data in Czechia on a very detailed spatial structure and yearly, extended time series (2002–2019). The main goal of the study was to examine the spatial dimension of disparities in regional unemployment and its evolutionary tendencies on a municipal level. To achieve this goal, global and local spatial autocorrelation methods were used. Besides spatial and space-time analyses, special attention was given to spatial weight matrix selection. The spatial weights were created according to real-time accessibilities between the municipalities based on the Czech road network. The results of spatial autocorrelation analyses based on network spatial weights were compared to the traditional distance-based spatial weights. Despite significant methodological differences between applied spatial weights, the resulting spatial pattern of unemployment proved to be very similar. Empirically, relative stability of spatial patterns of unemployment with only slow shift of differentiation from macro- to microlevels could be observed.

scholarly journals Data-Driven Spatial Econometric Analysis Model for Regional Tourism Development

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xuemei Zhao ◽  
Guofeng Yu
Keyword(s):  
Spatial Autocorrelation ◽  
Spatial Econometrics ◽  
Tourism Development ◽  
Tourism Industry ◽  
Anhui Province ◽  
Analysis Model ◽  
Spatial Econometric ◽  
Research Perspective ◽  
Regional Tourism ◽  
Per Capita

Taking 16 cities in Anhui province as research units, based on the research perspective of spatial econometrics, using spatial autocorrelation analysis, this paper investigates the spatial correlation of regional tourism industry in Anhui province, indicating that regional per capita tourism income in Anhui province has obvious positive spatial autocorrelation and relatively obvious local spatial cluster characteristics. To further explore the influence factors of the development level of the regional tourism industry in Anhui and construct the spatial econometric model, the model results show that the Anhui tourism industry development has been accompanied by spatial agglomeration process, per capita GDP, the number of star-rated hotels, fixed assets investment, and employment in the tertiary industry which play a significant role for tourism development. Finally, some countermeasures and suggestions are put forward to promote the development of regional tourism in Anhui province.

scholarly journals Recognizing the Aggregation Characteristics of Extreme Precipitation Events Using Spatio-Temporal Scanning and the Local Spatial Autocorrelation Model

Atmosphere ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 218
Author(s):  
Changjun Wan ◽  
Changxiu Cheng ◽  
Sijing Ye ◽  
Shi Shen ◽  
Ting Zhang
Keyword(s):  
Spatial Autocorrelation ◽  
Extreme Precipitation ◽  
Eastern China ◽  
Temporal Aggregation ◽  
Global Changes ◽  
Percentile Method ◽  
Extreme Precipitation Events ◽  
Spatio Temporal ◽  
Precipitation Events ◽  
Local Spatial Autocorrelation

Precipitation is an essential climate variable in the hydrologic cycle. Its abnormal change would have a serious impact on the social economy, ecological development and life safety. In recent decades, many studies about extreme precipitation have been performed on spatio-temporal variation patterns under global changes; little research has been conducted on the regionality and persistence, which tend to be more destructive. This study defines extreme precipitation events by percentile method, then applies the spatio-temporal scanning model (STSM) and the local spatial autocorrelation model (LSAM) to explore the spatio-temporal aggregation characteristics of extreme precipitation, taking China in July as a case. The study result showed that the STSM with the LSAM can effectively detect the spatio-temporal accumulation areas. The extreme precipitation events of China in July 2016 have a significant spatio-temporal aggregation characteristic. From the spatial perspective, China’s summer extreme precipitation spatio-temporal clusters are mainly distributed in eastern China and northern China, such as Dongting Lake plain, the Circum-Bohai Sea region, Gansu, and Xinjiang. From the temporal perspective, the spatio-temporal clusters of extreme precipitation are mainly distributed in July, and its occurrence was delayed with an increase in latitude, except for in Xinjiang, where extreme precipitation events often take place earlier and persist longer.

Accuracy Analysis of DEM Based on Coons Surface

2011 ◽  
Vol 65 ◽  
pp. 214-217
Author(s):  
Yao Ge Wang ◽  
Peng Yuan Wang
Keyword(s):  
Spatial Pattern ◽  
Spatial Autocorrelation ◽  
Boundary Curve ◽  
Digital Elevation ◽  
Grid Points ◽  
Elevation Model ◽  
Global Spatial Autocorrelation ◽  
Core Problem ◽  
Dem Model ◽  
Better Than

Interpolation is the core problem of Digital Elevation Model (DEM). The Coons DEM model is better than bilinear interpolation and moving surface fitting. It is constructed by grid boundary curve, the curve interpolates by some adjoining grid points. Its spatial pattern of error is random in global area, there is no significant global spatial autocorrelation, but it is an increasing trend along with the terrain average gradient increases.There is significant local spatial autocorrelation, the spatial pattern of error converges strongly in local areas.

Sign in / Sign up

Export Citation Format

Share Document