Research And Application Of The Visualization Of Spatial Data Mining Based On Time Series Algorithm

The pace of progress of the times is reflected in the rapid development of large-capacity storage technology and the popularity of computer and its information technology, a lot of valuable data are walking down the processing services as well as scientific research, a lot of important information about are often found in behind these data. Over the years the visualization of spatial data mining techniques are more widely used in various fields, especially related to assessment in the agricultural production. Using GIS and related technologies over the years collected corn yield, agronomic traits, soil fertility and other reference data, spatial analysis and decision-making, more vivid, intuitive, accurate to show the different years, the crop-growing trend to compare the two regions results using different fertilization strategies, school inspection and the results of the fertilization strategy Collect the data space of a large number of agricultural cultivation in the course of the project of "corn fertilizer expert system" in the practice of national support projects, these large amounts of data to analyze the statistical methods of the past is very difficult; in order to fully integrate these data utilized, we need to carry out excavation of the collected data using data mining technology in the timing algorithms and visualization techniques, and strive to obtain the knowledge hidden behind the data, in order to better manage and find the accurate production of corn out countermeasures, this study is based on technical knowledge of visualization and data mining research and study, the specific contents are as follows:1. In practice national support project "corn fertilizer expert system" project process, accumulated a large number of corn precise fertilization related to spatial data and attribute data. This paper discusses the timing algorithm and visualization of spatial data mining algorithms for data analysis and processing technology, clear that the algorithm is applied to the hidden behind the law in these data, and of great significance to solve complex problems in agricultural production.2. Studied in the comparison of different time series prediction model based on the Time Series algorithm in data mining in the agricultural production, according to the characteristics of the maize production data, practice in corn production forecasts. The results show that the application of modern agricultural spatial data mining based on the ARIMA model of the timing algorithm. 3. Provide the basis for decision-making on agricultural production, agricultural production space visualization of data mining research, variation in soil nutrients, corn production space picture shows the performance in the form of visualization technology, its application in the can operating platform for human-computer interaction. More intuitive, image expression of the maize production in the multidimensional data mining results, not only to improve the efficiency of the spatial data mining, and also provides a clear basis for agricultural production decisions.