Journal: PLOS One

Article Title: A population spatialization method based on the integration of feature selection and an improved random forest model

doi: 10.1371/journal.pone.0321263

Figure Lengend Snippet: Datasets used in the study area.

Article Snippet: Point-of-interest data (POI) , Baidu map , The data include 14 points of interest as follows: leisure and entertainment, financial services, education and training, life services, government agencies, medical care, automobile services, companies and enterprises, transportation facilities, shopping, accommodation, tourist attractions, catering, and real estate..

Techniques: Plasmid Preparation

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Examples of some tourist attractions in Shaoxing.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques:

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Spatial visualization distribution map of tourist attractions in Shaoxing.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques:

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Nearest neighbor ratio and spatial status distribution of districts (counties and cities) in Shaoxing.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques:

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Kernel density map of spatial distribution of scenic spots in Shaoxing.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques:

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Statistics of scenic spots in districts (county, city) in Shaoxing.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques:

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Lorenz curve of scenic spot distribution in Shaoxing.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques:

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Standard deviation ellipse in districts (counties and cities) in Shaoxing.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques: Standard Deviation

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Standard deviation ellipse parameters in districts (counties and cities) in Shaoxing.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques: Standard Deviation

Journal: PLOS ONE

Article Title: Spatial distribution characteristics and influencing factors of tourism resources based on point of interest data

doi: 10.1371/journal.pone.0310487

Figure Lengend Snippet: Factors affecting the spatial distribution of tourist attractions.

Article Snippet: This paper obtains the data of points of interest (POI) in Shaoxing City from Autonavi Open Data Platform as the research object, and adopts the ArcGIS10.2 software and spatial statistical analysis methods such as average nearest neighbor analysis, nuclear density analysis, imbalance index analysis and geographic detector to conduct statistical analysis on the spatial pattern of scenic spots in Shaoxing City and its sub-districts (counties and cities).

Techniques: