0000012237 00000 n

During the third, fourth, and fifth weeks, you will learn the four disciplines one by one from the principle to applications.

Likewise, if it is smaller than -1.96, the polygon I is a cold spot at the same confidence range of 95%.

[MUSIC] In the last lecture you studied spatial clustering and classification. Jianjun can be contacted at 603-646-6552 or by emailing jianjun.hua@dartmouth.edu •R for High Performance Computing, parallel computing, GIS It uses the GAM (Geographical Analysis Machine), a way of detecting spatial clusters from two data inputs: the data of interest, and a control, or “underlying population at risk” (or at least your best substitute for that). 0000000853 00000 n

%PDF-1.4 %���� Notably, the spatial statistics enabled by many of these libraries are legion. Crime analysis and traffic accident analysis in which municipal officers could make a reasonable decision on resource allocation. The next topic in spacial categorization is hot-spot analysis, which you will learn in this lecture. 0000004735 00000 n If the z-score is bigger than 1.96 we can say that the polygon I is a hotspot at the confidence range of 95%. Hotspot analysis could be applied to finding optimal locations for retail shop, public service center and even a certain type of real estates. indicates a significant hot spot.

To view this video please enable JavaScript, and consider upgrading to a web browser that 0000006857 00000 n � �"�dQ�GS@QA�]d}�^���}��o�㝙o���s~w�=�Ν� �M �Z��?�q( ��"�8�h& ˖�ev�,���j �ŷbj�bt� $B�H��q��$��>��헖���/f��f�'���ɛ��"�|�k�esP��.�J t��BUK_Q�.c�dx��XGX�o��+�}�� Epidemiology, and Oncology, in each public health professionals and officers could figure out anomalous areas and take proper actions. Particularly, in-depth explanations regarding Kriging, a de facto standard of spatial interpolation will be presented. Hot-spot analysis is mainly about finding hotspots, and there are quite a few methods which could be categorized into polygon-based and point-based approaches.

With respect to the given area in Seoul, Korea, can we have the answer to the question? Based on such business trend, this course is designed to present a firm understanding of spatial data science to the learners, who would have a basic knowledge of data science and data analysis, and eventually to make their expertise differentiated from other nominal data scientists and data analysts. Hotspot analysis can identify such clustering of spatial phenomena which are generally point events. You can see how useful hotspot analysis can be in a variety of application fields in hotspot analysis in spatial data science.

Definitely recommended.Love the course! "�PA� =��ED�I�E�.

0000005638 00000 n The second lecture "Proximity and Accessibility" will make learners realize how spatial data science can be used for business applications, while trade area analysis, supply to demand ratio, Floating Catchment Analysis (FCA), and Gravity-based index of accessibility are introduced and applied to real world problems. The fifth lecture "Spatial Categorization" will make learners understand classification algorithms such as Minimum Distance to Mean (MDM) and Decision Tree (DT), clustering algorithms such as K-Means and DBSCAN with real-world examples. 0000004441 00000 n

The result of hotspot analysis would present some insight to public health officers.

The differences and example of the applications. Hopefully see you all in the next lecture. A low negative Z score and small P value indicates a significant cold spot. You should see the crime incidents inside the downtown polygon selected. 0000006820 00000 n trailer xref The seventh lecture "Network Analysis" will make learners explore the algorithms of geocoding, map matching, and shortest path finding, of which importance is increasing in spatial big data analysis. All right, this is the end of hotspot analysis. 0000013100 00000 n

On the other hand, Getis-Ord GI* is a polygon based method in which point events are aggregated to polygons and apply Getis-Ord GI* formula to polygon layer.

0000004915 00000 n Hotspot is defined as an area or region of high concentrations of incidents, activities, interests and so on.

This course will start with defining spatial data science and answering why spatial is special from three different perspectives - business, technology, and data in the first week. 465 0 obj <> endobj Let's start with a question.


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