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"The ArcGIS engine+c# Instance development tutorial" fifth talk about Eagle Eye's realization

In the original: "ArcGIS engine+c# instance Development tutorial" Fifth, the realization of Eagle eyeAbstract: The so-called Eagle Eye, is a thumbnail map, there is a rectangular box, rectangular box area is currently displayed in the map area, drag the rectangle can change the current

ArcGIS for Flex API version3.7 Tutorial: 7. Using directions to query the route (shortest path analysis)

By using the Directons component to calculate the route between two points or multipoint, add a travel route on the map and show step-by-point instructions. This section is mainly about how to add the use of the Directons component, a custom layout that displays the palette on the left side of the screen, and two columns in the Map window. Customize your own published network analysis service to replace the

ArcGIS Server Development Tutorial Series (3) slices

Slicing work, we can cut at the first level, or we can, all the pieces cut, recreate all tiles this is to say, in the absence of any slicing work, you can choose this; recreate Empty tiles This is to say that if a certain level has been sliced before, When you re-slice, you can choose this, you can check the Help; Delete Tiles This can delete the previously cut slices, for example, our computer is transduction, suddenly power off, cut a few days, dozens of g of the

ArcGIS for Flex API version3.7 Tutorial: 6. Using Geocoder for geo-querying

Quick query of geographic locationThe Geocoder component provides a quick, geographically-based query that can be queried to display the geographic location of a map by entering an address by adding a query input box. Using Geocoder to move the map display to the specified location area is faster than panning and blooming maps. This feature requires the use of the locator service (location services).Prerequ

ArcGIS Engine + C # instance development Tutorial: the first lecture on the establishment of the desktop GIS application framework

addition and implementation Tutorial bug and optimization solution 1 7. Implementation of layer symbol selector 1 7. Implementation of layer symbol selector 2 Lecture 8 query and display of attribute data tables ------------------------------------------------------------------ Lecture 1: Establishment of the desktop GIS application framework This article mainly uses the mapcontrol, pagelayoutcontrol, toolbarcontrol, and toccontrol co

ArcGIS Tutorial: Generating feature files, classes, and cluster analysis

.    Update the average, and then repeat the previous steps. The iterative process of updating the mean continues until the user-defined iteration number is reached, or until less than 2% of the cells are converted from one cluster to another cluster that is related to the new mean in the iteration. The clustering process is sensitive to the range of values within each band. This value range is used to determine the values on the X and Y axes on which to calculate the E

ArcGIS Server Development Tutorial Series (2) Configuring the ArcMap and Arccatalog publishing services

registered, here will be an error. Click Analyze, analyze error-free, click Publish, wait for the release to succeed. Description of the error type: Serial number Result type Degree of severity Solution Solutions 1. Error High Error, must be resolved before publishing the map service; 2. Warning In When you publish a map

ArcGIS Tutorial: Iso Clustering

window)This example creates a signature file that divides the input multiband raster into five categories.Import arcpyFrom arcpy Import envFrom ARCPY.SA Import *Env.workspace = "C:/sapyexamples/data"Isocluster ("Redlands", "C:/SAPYEXAMPLES/OUTPUT/ISOSIG.GSG", 5, 20, 50, 15)  Iso cluster (Isocluster) Example 2 (stand-alone script)This example creates a signature file that divides the input multiband raster into five categories.# Name:IsoCluster_Ex_02.py# description:uses an isodata clustering al

ArcGIS Tutorial: Iso cluster unsupervised classification

.# requirements:spatial Analyst Extension# Import System ModulesImport arcpyFrom arcpy Import envFrom ARCPY.SA Import *# Set Environment settingsEnv.workspace = "C:/sapyexamples/data"# Set Local VariablesInraster = "Redlands"Classes = 5Minmembers = 50Sampinterval = 15# Check out the ArcGIS Spatial Analyst extension Licensearcpy. Checkoutextension ("Spatial")# Execute Isoclusteroutunsupervised = Isoclusterunsupervisedclassification (Inraster, classes,

ArcGIS Tutorial: Spatial Analyst expansion module for image classification

In the ArcGIS Spatial analyst Extension Module, the multivariate toolset provides tools for monitoring classification and unsupervised classification. The Image Classification toolbar provides a user-friendly environment for creating training samples and feature files that are used in supervised classifications. The maximum likelihood classification tool is the main classification method. The signature file that identifies the category and its statist

ArcGIS Tutorial: Raster cell size and resampling

Different raster datasets do not need to be stored with the same cell resolution. However, when working with multiple datasets, it is best to use the same cell resolution. When you enter multiple raster datasets of different resolutions into any ArcGIS Spatial Analyst extension tool, one or more input datasets are automatically resampled to the most coarse resolution of the input dataset.By default, the nearest neighbor allocation resampling technique

ArcGIS Tutorial: geostatistical workflow

-sampled location). Both of these factors affect the interpolated values and their associated uncertainties. For many methods, the search ellipse is defined along with the number of slices that the ellipse splits into and the number of points obtained from each partition for prediction.After the model definition is complete, the model can be used in conjunction with the dataset to generate interpolated values for all the non-sampled locations within the area of interest. The output is typically

ArcGIS Tutorial: Performing classifications

attributes in the original input band.This feature can be useful in the following scenarios. Suppose you are classifying an image, one of which is forest and the other is wetlands. After running this tool, you find that a cell on the forest class output raster receives a probability of belonging to a forest class of 60%, while the probability of receiving a wetland class on a wetland output raster is 30%. At this point, you may want to classify the cell location as a wet forest instead of class

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