| FFS – Land degradation assessment Training module Lesson 3 Thomas Gumbricht ICRAF |
Using Farmer Field Schools Approaches to Overcome Land Degradation in Agro-Pastoral Areas of Kenya
Land degradation assessment – Baseline survey on spatial analysis of land cover / degradation trends and Toolkit Development.
Training module created by Thomas Gumbricht, www.mapjourney.com
Last updated: October 2007
LESSON 2 – SELECTING FEATURES, LABELING AND DESIGNING MAPS
Lesson overview
In this lesson you will learn how to select features in a layer and create a new vector layer from the selection; and how to label and design maps using DIVA-GIS.
Create new project and set options
Open new project
Start DIVA-GIS and open a new project by clicking the New Project button,
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, or via the menu: Project - New. Save the new project, e.g. calling it lesson3.
Set DIVA-GIS defaults and options
In this lesson you will work with the database and create some new data layers and image files. In DIVA-GIS you can set different options for how to select data in the Data View. To get to the various options go via the menu: Tools – Options. Skip the Climate tab, and click the Layer tab.
In this lesson you are going to create new layers and design maps, and export them as files. Hence if you are working using a CD you must uncheck the option for Save relative paths in the project file, otherwise keep it checked. Also if you work with the dataset on a CD you must create a project folder on your local hard drive for saving the files you generate in this lesson. There are also other options to set, but you can leave them for now. Once you are into this lesson you might want to return to the Options menu and make some changes in your settings.
Select - Query
Use the Add Layer tool,
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, or go via the menu: Layer – Add Layer, navigate to the folder \data_spatial\ke\mapdata\politic and add the layer ke_Kenya_districts.shp. Open the Properties window for this layer, either by double clicking the layer in the Legend, via the menu: Layer – Properties, or click the Properties tool,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABoAAAAYCAIAAABr4HqSAAAAuUlEQVR4nGP5//8/A/UAy9tXN4GUsJg65WYVFaSywDmfPjymxKzdO7cDSRZkod+/vlFiIrpxlANijRMR1wCSb17eoIJxQLMg8c/IqIHfxAHy7Khx5BgHj1YgADLwRy4B45DNIsZEwq5jZCSohBTjSAKEjQP59f9/RgbG/wz/gS4Fexang4lyXWNjI0M9mGSox+/1oZvuIIUSyHcNDQwQCER4fYvPOIKlGz7jIIU9hQBqHLASotwsIAAAiLQ6b0t5GWUAAAAASUVORK5CYII=)
. To start with you only need to symbolize the districts using a Unique value, so make sure the Unique tab is selected, as shown below (left). Double click the rectangular symbol icon to open the Symbol window. And set the Style to Solid Fill. Then also select a Color and a Border Color. If you need to repeat symbolization, you can go back to
lesson 2.
You should now have a DIVA-GIS project window that shows the districts of Kenya. In the example below the Label was changed (in the Properties window).
The project to which this lesson belongs used three districts in Kenya for more detailed studies, Mbeere, Mwingi and Narok. To locate these districts, you need to select these districts by a Query – that is ask the database to find the districts for you. Query or selection is a very important function in GIS, and one of the key differences between a GIS and an ordinary map. Open the Select (Query) window in DIVA-GIS by clicking the Query tool,
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, or via the menu: Layer – Select Records.
Make sure the tab for Select by values is on top, click the drop down menu for Variable and select DISTRICT. You will get a list with all districts of Kenya. You have to use the scroll bar to the right to see them all. Click the Clear All button,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAAD4AAAAUCAIAAABalBlDAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAQZJREFUSEtjYBjS4P9QA4X5KcAAZwRioMs/fXg8VEJ/987tR4+f7p84B+H037++DQnXH9h/EOJ0piHhXKyOJMHpIuIacAQxC8il0OdoJkC4RBpLrNOBxr15eQOOiDSdQo/h106s09FMAfqBcmdBgoPsUCDT6WjuRktIkEiHIHjSItuJuMKICk5HTktw92EmLbSIgugCOovsgKeC0zHDGKsI5QkMzQTqOB05B0PcDRfB42LMZEaS98h0Oq6ES2SCRiuvyEszxDodYjocISdcZCnk5IucTUkKTiIVjzYEiAwoqiojNsFQ1VLqGAZNMGtXzqKOeXQxBdHohbTchxYANnqHloNRXAsAQYlNQ4BcYv0AAAAASUVORK5CYII=)
, and scroll down and check the records for Mbeere, Mwingi and Narok (you can also choose just one or two of them).
Click the Apply button,
![](data:image/*;base64,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)
, and close the Select window. Your Data View should now show the districts that you selected, in the color that was set in the Option window at the beginning of this lesson (you can now change the option for Color of selected features if you want, but the tutorial will use yellow).
When you selected the features, the Zoom to Selected tool,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAXCAIAAACeQxh6AAAA90lEQVR4nGMpzE+prioRFlNnoAywwFmfPjwm25TdO7ezIPN///pGBRdRCAgYJCKuAWe/eXmDHIMgRhw4cABNBJdx2A0C6jkAA3DBhoYGBwcHoBRWs3C6CGhEfX09sggjIyOyuYQNgjsHzDPBtACro+gVa4PDIKD/gaEAjCNMKXt7e2CQkxZrwJhmAMXUWWTBxsZGIDll+oqczAiiDII4igEpQQLdAjQF7EqQW3MyiXYRxP3IWQRoxIEDQIceAIuvePMSxVEEAhstOID6cZlFWqwBdeIyi+ToRzOLTBchmwVhUGQQmhHoBgHLXfIMRTGoqCCVElOAAACJyHYCn0OJAgAAAABJRU5ErkJggg==)
, became active. If you click on it, the Data View will zoom to show the selected features. In the example below, an overview map was added, simply by clicking F7 (see
lesson 1 to repeat how to make an overview map). To remove the overview map, simply press F7 again.
To clear the selection, click the Clear Selection tool,
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, or go via the menu: Layer – Clear Selection.
You can also select features directly from the Data View, with the Select Feature tool,
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,or via the menu: Layer – Select Feature. The Select Feature will appear pressed down,
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, and the cursor changes to a crosshair. If you click on a feature it will become selected and turn yellow.
To select more than one feature, for adjacent features (like Mbeere and Mwingi) you can use the mouse to draw a rectangle (or circle or polygon – you can set this in the Option window – see above in this lesson), and all features falling inside the rectangle will be selected. To select features that are not adjacent, you first select one, then hold down the Ctrl + Shift keys and click (or draw a rectangle/polygon etc) around the features you want to add to the selection (this function is a bit unstable in DIVA-GIS, but you can try).
Save as new shapefile
Select the district(s) you want to work with. In DIVA-GIS you now have the option to create a new shape file containing only the selected features. Click the Convert To Shapefile tool,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAIAAABvFaqvAAABF0lEQVR4nGP5//8/AzUAy9tXN4XF1Ck0pagglQXC+vThMdmm7N65HeQiOP/3r2+UOIqFsBLyDBIRXwNnv3kZQr5BEM0Q44AkkAshSTYIbhzcLDJdhGkWENy6+27fvn1oCjJSUZyJ0yBkt6gpC6kpo2ibMRvdpfhcBHcOkBSQsgWSzH9fHz92DGgu3Cy4uwhHP9BTQOf8ZWP4/OAwkGsprvH25Q2IEcjuIjYdMf9iEAYbATEFExBr0Idnh4EGCcOcQ75BQAA0glfBFhhYQEPJNAioHxJAQA8CA4t8FwFNAXrqL7MoPMjJNIgB7C/8CogyCDP5kWMQJMkBzULLE+S4iBh3EWsQfucgDIKUu5QAkEHAOoBCU4AAABMsc80YD/EkAAAAAElFTkSuQmCC)
, or go via the menu: Data – Selection to New Shapefile. In the Save As window that pops up navigate to your my diva directory, give the new layer a logical name and save it as a shapefile (*.shp).
The new shape layer will be automatically added to the DIVA-GIS Data View. It will be symbolized as a polygon with no fill and a black border (DIVA-GIS default).
Symbolizing nominal data
In the attribute table for districts in Kenya we only have nominal (i.e. name) data. In lesson 2 you learnt that nominal data can be symbolized using either a single value (one color for all features), or using Unique values. Make the old district map the active theme, and open the Properties window. Select the tab for Unique, set the Field for symbolization to DISTRICT in the drop down menu. Click the Reset Legend button. All districts will get a default color, which is unique for each district. You can change the color for each feature by clicking the small symbol icon (rectangle for polygon themes).
You can also exclude any feature by unchecking the checkbox for that feature in the Properties window. First just look at the alternative of having all districts included, with Unique values for the Symbolization. Click Apply and you should get a Data View similar to the one below.
The symbolization is very difficult to read, there are too many entries, and you can hardly identify the districts from the legend. One alternative is to return to a single symbolization for all the districts, and then symbolize the layer with the selected districts separately and put the selected districts on top. Try that out, and you should get a map similar to the one below (with your choice of colors).
Labeling
A second, and perhaps better alternative, to symbolization is to put labels directly in the map. Make the theme with all districts in Kenya the active theme, and go via the menu: Layer – Add Labels.
In the Add Labels window select the Field DISTRICT for labeling in the drop down menu, you can choose if the label should have a colored background, and what color that background should have.
Click the Set font button,
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, in the Add Labels menu to select font and the font style etc.
Click OK in the Font window, and OK in the Add Labels window, and your map will get labels. The name of each district is now easy to see and read.
If you, however turn on the layer with selected districts, the labeling will disappear under these districts. Try to symbolize the old district map using Unique values (check the Use color of single tab before clicking Reset legend) in the Properties window, as shown below.
When you click Apply the symbolization of the polygons work fine, but the labeling will disappear, as shown below.
If you put labels on a map symbolized with Unique values, the uniqueness will disappear. This is a small bug in DIVA-GIS, but there is a way to get around. You simply add a second copy of the layer ke_Kenya-districts, which you can do by just copying a layer in the Legend and then paste it from the menu: Data – Copy Layer / Paste Layer. Put the second copy of the layer on top in the Legend, and use this copy of the district layer for labeling. The labels will then end up on top of the map, and the symbolization of the underlying layers can be done without consideration of labeling. In the example below the legend of the labeling theme (ke_Kenya_district) was hidden. You can hide the legends from the menu: Layer – Hide/Show Legend, or by pointing at the layer in the legend and clicking the right mouse button and selecting Hide/Show Legend.
Designing a map
When you are satisfied with the district map of Kenya, click the Design tab in the lower right corner of the Project window. An empty Design View will open. The tools at the top of the Design View are used for adding map elements to the Design view. Most are gray, to get them active you must start by adding the Data View. Click the Symbol for Add Map,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABkAAAAZCAIAAABLixI0AAABZklEQVR4nK2VP07DMBTGn6XAwAqCI5QLMCCGZKkQMwMngBlxgbgXQMxwAgbu4N4BCVhhAQTizwXMZ/vFtUNJYpPX9qlx4l+/9/zZLbTWNFIU+JydHv+Tcn5x9f76ULiLvd2dbNB0/2Chy8Xh0QnY65uT1Pz9+dRm5YGQV1bX2qw8ULKuja3tsEFvL/c5uoQQfFvirUmaS4eGmRJ0WZC208gzmUsYEQ7Xr8uD7DQyimTsasm4fl0YUWqOXFWlK41zHP260BGlFINYRSOKBc6IanzHk18fj1264lri6uSf+3e5LqfI1ciTuUy9qFS6W2IJq6ULIC4wbFNIlJJkPUgXNVZQlXl1Vd2tC85GU5GJJr/nBALJPtOpy5V5e/cMlm2cKstSzCJP6FoLKQb5Hib0dm0aF+oyoKG+D3DEG8AvooGKtP3ocNa6gQ+yzwm/FAnnF85sDOEXMnK0jvgXoTGiuLm+HAWE+AG2kLLVZ8QdKAAAAABJRU5ErkJggg==)
, unless it is not already chosen (activated by default when a new design is created). You can decide where in the Design View you want to have the map (or rather, its upper left corner), by entering Location X and Y values followed by clicking the OK button,
![](data:image/*;base64,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)
. You can also tell DIVA-GIS to Cut white space (areas in the Data View where that are not covered by a layer).
![](data:image/*;base64,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)
With the map element in the design view you can just click in the Design View to add other Map elements, or another instance of the Data View. The editing capacity of the Design View is not very developed, and once a map component has been added you can not move it, but either click the Undo button,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABkAAAAYCAIAAACA18GRAAAAi0lEQVR4nGP5//8/A5UAS1FBat+E2ZQbBDSHBcL69OExJQbt3rkd5C44//evb5QYh2IW5WDULNqYJSKugcx98/IGsWYBdcJVQ0xB1gwUQVZA2F0Q1Vj1QMSJdRem64gBBMKLJOMIhz2mcVg9iNMsPG7BjAoS3EW8NUM93Q8DsyAFNhXMAlYhlBsEBAA5wznyS79oiwAAAABJRU5ErkJggg==)
, before you add another component, or simply start all over again by clicking the Clear all tool,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABkAAAAXCAIAAABxgXNEAAAA60lEQVR4nGN58/KGsJg6A8WgqCCVBcL69OExJQbt3rkdSLLA+b9/faPEOBSzKAcDbZawuEYjA0M9A8PblzeINQuiJwdVA0QQCEBSRLoLrmfK9BU5mRFogiDQ0ICmhQg/NjRMATohMwLNILgFhM0ChkU9XDPYOGTTMQ0i4C404/AbRMAsdOMIAcLhRaRBhM0Chje6ECwqSDNLGJfvcBhHOH3B9aMkKGzGYTcL0yBQ+mpowB92RKVViP1oSYQEP6IZBAFQ40hKq6ACYPoKBmwBDJTKwaYFn7twJW48AGoWpMCmEIDMAlYhlBsEBACeQ2IJA73ZeAAAAABJRU5ErkJggg==)
. When you added the map to the Design View, the other tool buttons for adding map components became active (colored). Add the legend by clicking the Legend button,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABkAAAAYCAIAAACA18GRAAAAt0lEQVR4nGP5//8/A5UAy9tXN1vbeig0pW/CbKA5LBCOtaUp2Qa5untC3QUXCg5PA5otLKZOKvnpw2N0s8gzCEiysnGhm0WeQcS6i5GRETN0gPFOjrtAOlENYsRmJVHuwhprZIYXxCFogEx3vXl5g2rxKCKugelHTAuIDS+0zAqMWPLDCxOQH4+YKYxMd2Emy0GT7jET/uBI95gJfxCkezLLL2CZDRQC2kAGCXcNyCxgLYI1mEkFAIb19HK2KwGCAAAAAElFTkSuQmCC)
. Clicking any of the tools for adding a map components changes the menu to the left to reflect properties you can set for that particular map component. With the map element added, there is a better to position forthcoming elements: by clicking directly in the Design View. The element will then be positioned with its upper left corner at the click-point. When adding the Legend element below, the legend entry for the copy of ke_Kenya_districts, used for labeling the map, was unchecked, and it is not shown in the Design View.
![](data:image/*;base64,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)
Then add a scale element by clicking the Scale tool,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABsAAAAZCAIAAABPfsIJAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAANFJREFUSEtj/P//PwNVAWNhfkp1VUlrWw/lxvZNmP321U0WuEHWlqaUGOrq7gnVDnTjm5c3gOSaFTOBIQBkk0d+fP8IopEJ2V1ANwuLqZNHws1BMZFs44COwG4iea6D6Bp1IyK2R8OR1LRJID2KiGsghykjIyOyBVhlCaRHoDSyEUAusgVYZQm4kRgj4FZCLCDsRqDXgJ6FkEDVcDZQBMhFkyWcr0kt0Ai7kYykPkTLHmBF8enDY1Y2LvJIROkAqWeAUUEVADSKEVhhUVIFYuoFAH9PzUIbfhUMAAAAAElFTkSuQmCC)
. The scale bar options appear in the menu to the left, with distance units set to the Distance Measurement Units set for your project (see
lesson 1).
Add a North Arrow by clicking the North Arrow button,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABoAAAAZCAIAAACgvKk3AAABDklEQVR4nK2VMQ6CMBSGS1JNcFQiR9ALOBAHdTDGg+lkjLuHUSauoLMTBo1xga3+pPrSlKRgaYfmtQ3f+15pgQshmLvGH/frZrtrD9ofjkBxOZhGkzas5WotA05T88VsMBwhg0X/ft10nDULfafb03HWrD/sPM/DUpZeHNhJFloQjs3EejtiNSHW2FGNoCDAUceMgWiyU/eLMpmJJjs8SbGaSZ23fLNapiB8MpYIEf3q+MZNz52WCSwMi4LRais7OfT9JEv7kv7frajaoTrUiKqz1IWdmsOBHXp4wQ6ObuwQ53m5g/RUK7tqJks7OnFa3NTOcBNMt0J+7DGLPBY9OZU4/ISYo8bPp5ix2BXuAwtDOygJVsX/AAAAAElFTkSuQmCC)
. You can also include an overview map, by clicking the Overview Map button,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABkAAAAaCAIAAADNH2CaAAABIUlEQVR4nGP5//8/A5UAy9tXN1vbeig0pW/CbJBZEI61pSnZBrm6ewLJTx8es8CFgsPTgG4UFlMnlQSaAtT++9c3hFnkGQQkWdm4ICYgzCLPILi7UMyilbtExDWIDHhgkiLgLogiTFcwMjIiiwOtJOwuXF7GtJJweCEbzWDBJQyxDOhYc04GP0MI++2m8xBdpLgLrE3YzxCZhKgn1l3w4Ae6BaiZ8eT3/zASaijMSsLuevPyBpQN1vwfiSTZXShsmBFkugtreFHfXSDSnBOY1shxF8Q4SDwgyP//gcaR5i6Qi3Cke2LdBfECJkATJ+wueIIY6PILWGYDhYA2kEFCTDiw/yDILEgtQiE4evw0C9A8BoaDlJsFrMlYHBztKTcIAgDcggwX+5HBeQAAAABJRU5ErkJggg==)
, but in the map we are now designing the Map component and the Overview map are then same, sono overview map is needed. Finally you can add text to your design by clicking the Text button,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABsAAAAYCAIAAACEIhGsAAAA4ElEQVR4nGP5//8/A1UBCxAXFaRSblDfhNlQE9eunAWkrC1NKTHO1d0Twvj04TELhOXgaC8spv721U3ySGTToSZSYhyQBDoN3URKjAOSrGxc9HWjoqIiZtjfv3+ffDfCNQONxm8QyeGIKW5i7oHp/DMndxAbjpjiQM1wo+Fs0tyI6XGICJplJLgRqBnZUDgbzRGkhSPcUGSjyXcjPPbRvE+mG9E8SwU3ooUdsqFkuhEzkcMNRU46pLkRM89gzUXDoOyhjhuBQkB7yCbhxu3euZ3l6PHTQBafgCwDxQBSpwIAXN+OpWzb2ZkAAAAASUVORK5CYII=)
. For the text component you can set the font and its characteristics by clicking the Font tool,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABgAAAAYCAIAAABvFaqvAAAAmElEQVR4nGP5//8/AzUAS1FBat+E2RSaAjSEBcL69OEx2abs3rkd5CI4//evb5Q4ioWwEhoZJGK5AEi+OZ5AkUFAUzCNINNFuADdDYIEDQNu3xFrEEQzaWF0RVwDmavz8gYxNmF3EZGaCRuECXAlH5INwmMEPoMgwUSSB+keRsPDIDICCLtB5AGoQZByl1KDgHUApe5hYAAAyiIyzFBwbKwAAAAASUVORK5CYII=)
.
The next time you add a map component to the Design View, it will get the font that you have set. In this way you can use different fonts for your different components (including different text entries). By choosing a color from the Color tool,
![](data:image/*;base64,iVBORw0KGgoAAAANSUhEUgAAABcAAAAYCAIAAACeHvEiAAAAk0lEQVR4nGP5//8/A8WAhXIjigpSQaZ8+vCYbCN279yOcMvvX98ocQ4VfEQzU0TENYjR9ublDQJugcc8I5AN4zAyosngdQt5gGamIDuXkRGXDCFTGhoa4Ax4/mBkxGkEdlPIADQzBe4jBkIewesWHAnmP0yCcailF1wJBtMjOE1By2YUuGUgTYGUnRSZAizBKXcLAAArJitdpeg3AAAAAElFTkSuQmCC)
, you can set the color also of the Scale ba,r the North Arrow, and outlines around the Legend and Overview Map components. The Color tool overrides any setting of font colors, and can be used to select a wider variety of font colors also for Text components.
When you have finished designing your map you can export it to the windows clipboard, print it, or create an image by clicking one of the Export tools,
![](data:image/*;base64,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)
. The image below was simply created by clicking the Copy to Clipboard button, then clicking in the word document used for making this lesson and pressing ctrl-v.
Below is another map that was done using the Design View in DIVA-GIS. First one district maps was zoomed to in the Data View (with a small View window), then the pan function was used to the other in order to preserve the scale. And a second instance of the Data View (Map component) was added to the Design View. Then the scale bar was added to reflect the scale of the selected districts in their zoomed state. The Overview Map and the Text were added (using different font sizes and colors etc), and finally the North Arrow was added.