fig. s 10. an overview of the arcmap interface. of both vector and raster data displayed in arcmap....

1

Fig. S 10. An overview of the ArcMap interface.

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Fig. S 11. An overview of ArcCatalog showing a preview of the

aster30_frib_ch_FR.tif Digital Elevation Model (DEM).

3

Fig. S 12. An overview of the toolboxes in ArcToolbox.

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Fig. S 13. A map with the colony location point data, the DEM, and the commune

boundary layer displayed in ArcMap. The symbology of the polygon layer has been

changed to hallow polygons so the DEM is visible even though it is technically under

the commune layer.

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Fig. S 14. Examples of both vector and raster data displayed in ArcMap.

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Fig. S 15. The “Add XY Data” dialog box.

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Fig. S 16. The warning dialog box produced which states that the table does not

have an Object-ID field when adding a table to ArcMap.

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Fig. S 17. A visualization of the colony location point data in ArcMap.

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Fig. S 18. The Identify tool dialog box displaying the results of a map query for all of

the visible layers on the map. The results of the query show that the coordinates of

the clicked location, which was located in the commune of Düdingen at an altitude of

around 612m. The rest of the information in the dialog box comes directly from the

attribute table of the commune layer.

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Fig. S 19. The Select by Attributes dialog box with the commune boundary as the

input and the SQL builder and resulting equation shown. In this example, the

equation will select all records in the table with the canton number of 10.

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Fig. S 20. The results of the Select by Attributes query (Fig. S 19) are shown on the

map and in the attribute table of the commune boundary layer. The turquoise

highlights represent all the selected data which represent all communes in the canton

of Fribourg.

12

Fig. S 21. The Select by Location dialog box which shows that the features will be

selected from the commune boundary layer where the layer intersects with the

colony locations layer.

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Fig. S 22. The results of the Select by Location query (Fig. S 21) which show the

selected communes that intersect with colony locations, thus, all the commune

polygons with colony location points inside of them. Reproduced with permission of

Swisstopo (BA13016).

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Fig. S 23. The results of exporting the selected data to a new shapefile. The new

shapefile, colony_communes, depicts only the communes that have colonies inside

them. Reproduced with permission of Swisstopo (BA13016).

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Fig. S 24. An example of table editing using the Editor toolbar. Information has been

added to the colony locations point file by manually typing the information into the

attribute table.

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Fig. S 26. The dialog box of the Intersect tool.

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Fig. S 27. The attribute table showing the results of intersection between the

colony_locations and colony_communes layers.

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Fig. S 28. The dialog box of the Buffer tool.

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Fig. S 29. The resulting 2000m buffers around each colony location.

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Fig. S 30. The dialog box of the Multiple Ring Buffer tool.

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Fig. S 31. The resulting multiple ring buffers in 100, 200, 300, 400, 500, and 1000m

increments around the colony locations.

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Fig. S 32. The dialog box of the Dissolve tool.

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Fig. S 33. The results of the dissolving by the COUNTRY attribute. Reproduced with

permission of Swisstopo (BA13016).

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Fig. S 34. Dialog box of the Project tool.

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Fig. S 35. Results of projection showing the disparities in the two polygon data

layers between the CH1903 and the WGS84 projections. Reproduced with permission

of Swisstopo (BA13016).

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Fig. S 37. The Layer to KML dialog box.

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Fig. S 38. The results of Layer to KML tool imported into Google Earth. Reproduced

with permission of Swisstopo (BA13016).

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Fig. S 39. The Slope tool dialog box.

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Fig. S 40. The result of slope calculation from the DEM.

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Fig. S 41. The symbol properties dialog box for the calculated slope layer.

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Fig. S 42. The results of changing the symbology of the slope layer.

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Fig. S 43. The Aspect tool dialog box.

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Fig. S 44. The result of the Aspect calculation from the DEM.

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Fig. S 45. The Hillshade tool dialog box.

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Fig. S 46. The result of the hillshade calculation from the DEM.

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Fig. S 47. Example of a transparent DEM draped over the hillshade raster to show

terrain definition.

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Fig. S 48. Project Raster dialog for the reprojection of the Corine land cover 2006

(CLC06) layer.

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Fig. S 49. The dialog box from clipping the Corine land cover (CLC06) layer to the

extent of the Fribourg commune layer.

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Fig. S 50. The result of the clip performed in Fig. S 49. The land cover layer is now

clipped to the extent of the Fribourg commune layer.

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Fig. S 51. The Symbology dialog box of the land cover layer with a set zero values

selected to be removed.

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Fig. S 52. The TOC displaying the codes and names of a set of land cover values.

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Fig. S 53. The Raster Calculator dialog box showing the equation used to select all of

the land cover code 211 from the entire raster.

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Fig. S 54. The Zonal Statistics as Table dialog box.

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Fig. S 55. The results of the Zonal Statistics as Table calculation.

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Fig. S 56. The Join Data dialog box.

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Fig. S 57. The Field Calculator dialog box used to create the “other” landcover

classification in the colony locations table.

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Fig. S 58. The resulting colony locations attribute table with land covers means.

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Fig. S 59. A sample graph created in ArcMap using the land cover statistics numbers.

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Fig. S 60. An annotated display of the Data view screen in ArcMap. Taken from the

ArcGIS online help (ESRI, 2013,

http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#//0066000003320000

00).

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Fig. S 61. An annotated display of the Layout view screen in ArcMap. Taken from

the ArcGIS online help (ESRI, 2013,

http://help.arcgis.com/en/arcgisdesktop/10.0/help/index.html#//0066000003320000

00).

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Fig. S 62. The results of symbolizing a layer based on the values of an attribute. In

this example, each colour represents a different commune around Fribourg.

Reproduced with permission of Swisstopo (BA13016).

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Fig. S 63. The result of turning the labels on for the commune_boundary_FR layer.

Reproduced with permission of Swisstopo (BA13016).

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Fig. S 64. The creation of pie charts in the colony locations layer properties

symbology tab.

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Fig. S 65. The resulting pie charts shown on top of the commune layer. Reproduced

with permission of Swisstopo (BA13016).

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Fig. S 66. The final map in ArcMap with the colony locations and commune

boundaries (transparent) displayed over the DEM (transparent) and hillshade rasters.

A measured grid (CH1903 LV03 coordinate system in metres), scale bar, north arrow,

and title have also been added to the map. Reproduced with permission of Swisstopo

(BA13016).

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Fig. S 68. The graphical user interface of QGIS Desktop (version 1.8.0. “Lisboa”,

running on Windows). The legend corresponds to the terms used in the official QGIS

user Guide: Menu Bar (1), Tool Bar (2), Map Legend (3), Map View (4), Status Bar

(5). Reproduced with permission of Swisstopo (BA13016).

1 2

3 4

5

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Fig. S 69. QGIS Browser serves as data manager and can be used as a standalone

application or as a separate panel directly within QGIS Desktop.

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Fig. S 70. The QGIS Python Plugin Installer can be used to download and install

additional program code from different repositories.

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Fig. S 71. The QGIS Plugin Manager can be used to enable (if they are already

installed) or disable (without being uninstalled) plugins.

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Fig. S 72. The Coordinate Reference System (CRS) of the project has to be defined

within the Project Properties. In the same dialog the on-the-fly CRS transformation

can be enabled or disabled.

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Fig. S 73. A polygon layer containing administrative districts (municipalities) around

the city of Fribourg (western Switzerland) has been loaded to the QGIS project.

Reproduced with permission of Swisstopo (BA13016).

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Fig. S 74. Result after adding the digital elevation model and zooming to its extent.

Reproduced with permission of Swisstopo (BA13016).

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Fig. S 75. Create a Layer from delimited text files: By the use of coordinates stored

in different columns of a delimited text file, point vector files can be created.

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Fig. S 76. The map result after import of the honey bee colony locations (red dots).

Reproduced with permission of Swisstopo (BA13016).

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Fig. S 77. Dialog window to save an existing layer as a new vector layer. By the use

of this function, file format conversions and even transformations between different

coordinate reference systems are possible (defining the target CRS).

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Fig. S 78. Save “Temporary Places” within Google Earth as KML-files to the file system.

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Fig. S 79. Metadata of the layer commune_boundary_FR.shp in the Layer Properties.

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Fig. S 80. Symbol properties for QGIS vector layers. Different Symbol layer types

can also be combined for more advanced visualization tasks (Button Add symbol layer

to the left).

69

Fig. S 81. Result after performing a spatial query: The honey bee colonies are

located within 11 different administrative districts around the city of Fribourg. The

orange polygon represents the first in the Result Feature ID’s list. Reproduced with

permission of Swisstopo (BA13016).

70

.

Fig. S 82. Result after performing a spatial query: The honey bee colonies are

located within 11 different administrative districts around the city of Fribourg.

71

Fig. S 83. Selected features (one single feature corresponds to one table entry)

within the Attribute table. All in all, the layer consists of 51 features.

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Fig. S 84. The Query Builder is used to restrict the features to those within the

canton of Fribourg (by the SQL where clause “KANTONSNR” = 10).

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Fig. S 85. Result after the SQL Query is performed: There are only 49 polygons left

having the number 10 within the field “KANTONSNR”. Reproduced with permission of

Swisstopo (BA13016).

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Fig. S 86. Save a selection to a new vector layer.

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Fig. S 87. Editing attributes in QGIS.

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Fig. S 88. Function Count Points in Polygon in QGIS.

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Fig. S 89. Calculate with attributes and geometrical statistics in the Field calculator.

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Fig. S 90. Add geometry columns to an existing or a new shapefile.

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Fig. S 91. Vector to raster conversion using QGIS.

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Fig. S 92. Symbolized raster image using 5 classes between blue (municipalities with

small shape area) and red (largest area). Reproduced with permission of Swisstopo

(BA13016).

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Fig. S 93. Raster to vector conversion using QGIS.

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Fig. S 94. Project a raster dataset to a new target coordinate reference system (CRS).

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Fig. S 95. Adding a buffer of 2000 m to the honey bee colonies locations.

84

Fig. S 96. Clip the honey bee locations to the boundaries of the city of Fribourg.

85

Fig. S 97. Using the Intersect Tool, overlapping areas are written to the resulting

layer (the attributes of both original layers will be preserved).

86

Fig. S 98. Dissolving polygons by the attribute “BEZIRKSNR”: The new layer will

contain aggregated polygons based on this attribute.

87

Fig. S 100. Attributes of a given layer can be attached to another by the use of a

spatial join.

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Fig. S 101. Basic statistics of a specific vector layer attribute field.

89

Fig. S 102. Calculating slope with QGIS.

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Fig. S 103. Calculating aspect with QGIS.

91

Fig. S 104. Hillshade tool to create shaded relief rasters based on a DEM.

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Fig. S 105. Compute elevation levels (isolines) based on a digital elevation model using the Contour function.

93

Fig. S 106. Compute mean coordinates from a point vector layer.

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Fig. S 107. Generating a distance matrix between point vector layer(s).

95

Fig. S 108. Spatial analysis computing the intersection between a DEM and an

inclined plane with the QGIS plugin qgSurf.

96

¨

Fig. S 109. Reprojecting the Corine Land Cover 2006 raster dataset for Europe into

the coordinate reference system of Switzerland.

97

Fig. S 110. Clipping the Corine Land Cover 2006 raster to the area of interest.

98

Fig. S 111. Intermediate result showing the municipalities and honey bee colonies

on the Corine Land Cover 2006 data set for the region around Fribourg.

99

Fig. S 112. Setting the Colourmap for the CORINE Land Cover 2006 data: For each

integer value of the raster image a colour and a label is assigned.

100

Fig. S 113. Separating bands of interest out of the CORINE Land Cover 2006 data

set. The raster value 12 equals the category “211 - Non-irrigated arable land”.

101

Fig. S 114. Performing zonal statistics from raster values based on a polygon vector

layer.

102

Fig. S 115. Visualising the percentage of different land cover categories within the

honey bee buffers.

103

Fig. S 116. Calculate the percentage or other landuse categories with the field

calculator.

104

Fig. S 117. Join vector layers.

105

Fig. S 118. Setting labels based on attributes.

106

Fig. S 119. Creating diagrams based on layer attributes.

107

Fig. S 120. Map View after changing layer style properties and labelling options.

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Fig. S 121. The QGIS Print Composer.

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Fig. S 122. Final map with title, legend, north arrow, scale and coordinate grid in the

QGIS Print Composer.