TimothyHales的最新贡献

密度分析计算区域内事件或物体的数量。计算结果揭示了该区域内点最集中的位置。您知道您还可以分析表示值大于1的点吗?仅仅因为可能有一组点并不一定意味着某个区域的浓度最高。您所需要的只是一个带有数量的属性。下面的示例展示了如何使用ArcGIS Pro 2.2中的Point density工具的属性执行密度分析。这张地图显示了报告犯罪的地址和地点。每个点可以代表一个以上的报告。报告的数量存储在属性表中的reports字段中。在Analysis选项卡上，单击Tools。 In the search box, type Point Density. On the Analysis tab, click Tools. Select your input points. For Population field, select the attribute with the quantity value. Your Point Density geoprocessing pane should look something like this: Set your output raster. The output density raster shows the areas with the highest density based upon the number of reports at each address location. When you compare running the Point Density tool without a population field versus with a population field, you can see the difference in the results. Point density without population Point density with population By adding in the population field, a high-density area becomes more apparent in the northern area of the map. Upon further investigation, that particular area contains a mall, shopping center, and movie theatre—which probably contributes to the higher number of crime reports. Spatial analysis provides the tools you need to make informed decisions. Learning how to use the available tools will help you choose the specific analysis tool that will best meet your particular needs. Are you new to spatial analysis? I suggest that you take a look at the Getting Started with Spatial Analysis web course. This course builds a foundation of knowledge on the six categories of spatial analysis and how they are used in the spatial analysis workflow. Additional information on density analysis can be found in the Calculating Density Using ArcGIS web course. *Note: The data used in this example is fictitious and does not represent real crime data. ．.．查看更多

每个行业都有自己独特的GIS工作流程。其中一些就像运行一两个工具一样简单。其他的则更加复杂，涉及多个工具和过程。对于每个工作流，必须有人花时间完成流程的每个步骤，然后在出现新项目或提供数据时一次又一次地重复该流程。这些手工的、重复的工作流程不仅耗费时间，还容易出错。如果遗漏了一个步骤，或者在任何一个步骤中引入了错误，那么结果至少会有问题。如果有一种方法可以重复您的工作流程，而不必接触每一个任务呢?如果你能找到一种节省时间的方法呢?你可以!Python为这些问题提供了解决方案。 Python scripts can help you: Streamline your GIS work. Easily repeat processes on different datasets. Save time by automating a series of complicated steps. But where do you begin? Exactly what tasks can you perform using Python? How can you improve the performance of your current Python scripts? For example, suppose you want a Python script that takes a table of customer locations and creates an outer polygon boundary of those locations. You have been manually drawing a polygon around an XY event layer of the locations each time they are updated, but the process takes a lot of time and is not entirely accurate. You can use Python lists and ArcPy geometry objects to complete this workflow efficiently and accurately. The Python script can be broken down into basic tasks: Define input and output variables. Create a Python list from the table of XY coordinates. Create a multipoint geometry object from the Python list. Use the convexHull() geometry method to create the boundary. Save geometry object of the boundary to a feature class. You can run this script as often as you need by simply modifying the variables. You can also create a Python script tool from it. Would you like to learn how to script your GIS tasks and workflows? Creating Python Scripts for ArcGIS is a new Esri course that takes you from minimal Python knowledge to creating Python scripts that automate a complete workflow . You’ll learn practical Python skills such as how to access and run geoprocessing tools, automate tasks with lists, work directly with GIS data, create Python script tools, and more. If you want to simplify your GIS workflows and get more work done in less time, take a look at the upcoming class schedule. ．.．查看更多