The ArcGIS Pro application lets you gather all the resources you need to complete a project in one place. A project contains maps, layouts, server tasks and connections, databases, toolboxes, folders, styles, and so on. It can also integrate content from your portal or ArcGIS Online of your organization.
We will begin a series of tutorials for the new application available with ArcGis 10.3, ArcGis Pro.
This first chapter is dedicated to the discovery of the interface.
ArcGIS Pro uses a rectangular ribbon at the top of the application to display and organize its features in a series of tabs. The ribbon only shows the tools that are relevant to the current task. Rather than taking up space on the screen to display a series of toolbars-some of which you cannot even use-the ribbon is contextual and updates to reflect current work opportunities. In this way, ArcGIS Pro can provide a large number of features in a simple way, without overwhelming you. When you have an open map, you simply see the commands that work with maps. The ribbon tabs appear as you need them, such as the specific tools for the raster layers that appear when you work with this kind of data. Continue reading “ArcGis Pro 1.0 Tutorial English: 1- Interface Discovery”
Standard techniques for representing the terrain, such as shading, are sufficient for many applications, but with Terrain Tools you can represent the terrain under different lighting conditions, or use more artistic techniques. This set of tools complete or extend what you find in the default software. These techniques are often difficult to find or to put into work. The Terrain Tools project brings together some of these ideas in a toolkit which provides the features to create alternative representations of the terrain with ArcGIS.
From the moment you are not any longer alone to manage data, it is important to be able to track data changes: who did what and when?
If you work with geodatabases enterprise you know that you have at your disposal the versioning as well as archiving options to perform this task , provided you count with a Standard or Advanced license .
One of the most common tools for data management is the famous ArcGIS Field Calculator. When you are on a tabular view, by right- clicking on the field name (column), you find the option “Field Calculator” which opens the famous calculator: Continue reading “The new field calculator in ArcGis Pro”
In Article previous we have discussed some SQL functions for spatial processing . In this article we will see a function a little more complicated to put at work: the aggregation function for two layers of polygons. This operation is the one called Union in ArcGis. The purpose of the operation is to obtain a layer with all the intersections of the entities of the two original layers, and, also, all non-intersecting entities.
Let’s use the following example. We have a first layer “rectangles”
A second layer “circles”
That overlaps spatially:
What we want to obtain is a layer containing all the polygons of both layers but creating polygons to overlay areas:
We will proceed by following the same method used in the previous article, i.e. by developing an SQL query including several sub queries.
In the first place, we will develop a query that will build the polygons of the overlapping areas (the intersections) of both layers. These polygons appear in yellow in the next picture.
We will resume the request used in the previous article:
selectcircle.id as id1, rectangles.id asid2, st_intersection(circle.geom, rectangles.geom) asthe_geom fromcircle, rectangles wherest_intersects(circle.geom, rectangles.geom) group bycircle.id, rectangles.id
You will notice that the select is built not just to retrieve intersected geometries, but also the identifiers of the original entities (circle.idandrectangles.id). Of course, you can recover other attributes, or all by changing this part of the request.
To these polygons, we will add the rest of the areas occupied by the rectangle layer (in yellow in the following picture)
select0 as id1, rectangles.id asid2, st_difference(rectangles.geom,
What we get to do with this request is to extract all the intersection areas (as in the previous query) and convert them in a single multi-polygon. The request removes the difference of this multi- polygon with the layer of rectangles.
Finally, these polygons, we are going to add the rest of the areas occupied by the layer circles to these polygons (yellow in the following image)
We will proceed likewise the rectangles, by using a multi- polygon of intersection areas and calculating the difference with the layer circles:
One of the most common techniques in GIS in order to treat non-spatial data is that of the join. We use a geographical layer having geometries, as support for another layer having no location data. To this end, we will use a common field to both tables, that allows “the joining” the records from the geographic table to those of the non- geographic table. Therefore we created a new virtual table where the attributes of the non- geographic table can be used to be mapped with the geometry of the first table. For this join to work it is necessary that for every registration of geographical table corresponds a record in the non- geographic table, and only one. Because if more than one is found, the join cannot work. In that case we have a “relationship” between the tables, never a “juncture”.
KML(Keyhole Markup Language) is an XML data format used to display information in a geographical context. Just as Web browsers read and display HTML files, land-based browsers such as Google Earth read and display KML files. KML is a language readable byeveryone , composed of text and punctuation . It can be created and edited through a basic text editor, saved, and then previewed in a land-based browser . You do not need to be a wizard to master the basics of KML, and you’ll notice than this knowledge will make it possible to create powerful presentations that depict your geographical data and images on the numerous land-based free browsers such as : Google Earth, Microsoft Virtual Earth, NASA WorldWind, ArcGisExplorer, .. Continue reading “KML: Getting Started”
Unlike in a previous article (Spatial Data Analysis and Spatial Analysis of Data) where nothing was specific to coastal management, in this article I will examine specifically Coastal Management. We will start by discussing how geomatics applied to the littoral zone displays very specific features.