A Spatial-Statistics based Framework of Spatial Correlation Analysis of Retail Sales DOI

Keyi Lan,

Yanbing Liu

2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE), Год журнала: 2022, Номер unknown, С. 426 - 431

Опубликована: Авг. 1, 2022

Sales data analysis and forecasting is of great importance. In the retail industry, retailers' historical sales can help retailers with purchasing, planning marketing decisions. real life, there an interactive relationship between neighboring retailers. Though large number studies have been conducted to analyze forecast sales, few scholars considered impact spatial correlation geographical locations on volume. Therefore, it practical theoretical importance study heterogeneity patterns among this paper, we propose a statistics-based framework for retailer sales. First, investigate pattern volume using given region then measure global Moran index. Second, measured local based aggregation map LISA. The results show that are significant correlations at same time, in some regions.

Язык: Английский

Using GEOBIA and Vegetation Indices to Assess Small Urban Green Areas in Two Climatic Regions DOI Open Access
Ana Popa, Diana Andreea Onose, Ionuț Șandric

и другие.

Опубликована: Сен. 27, 2022

The importance of small urban green areas has increased in the context rapid urbanization and densification tissue. analysis these through remote sensing been limited due to low spatial resolution freely available satellite images. We propose a timeseries on 3 m Planet images, using GEOBIA vegetation indices, with aim extracting assessing quality two different climatic biogeographical regions – temperate (Bucharest, Romania) mediterranean (Athens, Greece). Our results have shown high accuracy (over 91%) regarding extraction both cities, across all analysed showed consistency location for around 55% identified surfaces throughout entire period. indices registered higher values region, characteristics planning cities. For same reasons, increase density quality, as result distance from city centre decrease built-up is more obvious Athens. proposed method provides valuable insights distribution at level can represent ground basis many analyses, currently by poor resolution.

Язык: Английский

Процитировано

4

A Spatial-Statistics based Framework of Spatial Correlation Analysis of Retail Sales DOI

Keyi Lan,

Yanbing Liu

2022 International Conference on Computers, Information Processing and Advanced Education (CIPAE), Год журнала: 2022, Номер unknown, С. 426 - 431

Опубликована: Авг. 1, 2022

Sales data analysis and forecasting is of great importance. In the retail industry, retailers' historical sales can help retailers with purchasing, planning marketing decisions. real life, there an interactive relationship between neighboring retailers. Though large number studies have been conducted to analyze forecast sales, few scholars considered impact spatial correlation geographical locations on volume. Therefore, it practical theoretical importance study heterogeneity patterns among this paper, we propose a statistics-based framework for retailer sales. First, investigate pattern volume using given region then measure global Moran index. Second, measured local based aggregation map LISA. The results show that are significant correlations at same time, in some regions.

Язык: Английский

Процитировано

0