Abstract Carbon dioxide (CO 2 ) emission is a global environmental issue, and it considered as triggered climate change. One of source contribute to CO transportation sector which are increasing at much faster rate than Gross Domestic Product growth. This paper present evaluate spatial temporal pattern emissions from vehicle using satellite Sentinel 5P image. The image was obtained European Spa...

Unemployment is a serious challenge faced by developing countries such as Indonesia. These challenges involve complex factors interacting with each other and can have negative impact on social economic stability. This study focused East Java Province case in point, the aim of analyzing geographical distribution open unemployment (TPT) relationship between regions that context. Using spatial ana...

In the recent years, abnormal spatial pattern recognition has received a great deal of attention from both industry and academia, and has become an important branch of data mining. Abnormal spatial patterns, or spatial outliers, are those observations whose characteristics are markedly different from their spatial neighbors. The identification of spatial outliers can be used to reveal hidden bu...

Spatial patterns of Meloidogyne incognita, Tylenchorhynchus claytoni, Helicotylenchus dihystera, and Criconemella ornata were analyzed using Hill's two-term local quadrat variance method (TTLQV), spectral analysis, and spatial correlation. Data were collected according to a systematic grid sampling plan from seven tobacco fields in North Carolina. Different estimates of nematode cluster size we...

The following approach is used to mine for temporal-spatial patterns in large data sets. We rst present a parameterizable model for spatial-temporal sequences, then devise eecient ways to search for parameter values that will result in a good t to (at least portion of) the data. Metrics for how well the model ts the data are deened which are similar to the support and conndence used in associat...