GIS_Exercise 2_Simple spatial analysis tools
How many km of sea shore is there within Helsinki administrative border?
+ Use the datasets downloaded during the class (CORINE, Administrative border)
+ Use the different queries, ‘Analysis Tools’ (Overlay) and ‘Data Management Tools’ (features) to create the right layer.
+ Use ArcToolbox > Conversion Tools > Excel > Table To Excel to convert the attribute table of the right layer into excel file. Make the right caluculation
+ create a map to illustrate your result and a small text to explain your process.
+ Do you have an idea of what could be done to have faster result?
Have a look at the data available for to us in Finland, in your opinion (and using the new knowledge out of the readings), what datasets could be useful to assess Ecosystem services, or to assess Landscape?
Hardcore Homework - but doable with your knowledge (optional)
Overlay fishnet (regular polygon grid) - use the toolbox search tab - with coastline and land cover polygons in Espoo. Calculate the amount of coastline and proportion of forests and semi-natural areas in the fishnet (clipped with Espoo). Show the resulting two maps (the amount of coastline and proportion of forests per fishnet polygon) in the report. See the example.
+ You need to decide the study area and size of the polygon grid yourself
+ You should use an administrative border polygon to describe the study area; take a small area which has water and forest areas!
+ You need to download the full CORINE data set
+ Use Clip tool to cut the dataset into a smaller area based on the polygon you created earlier
+ Coastlines can be created by converting the water areas into lines with the appropriate tool
+ If you Intersect the coast lines with the fishnet, you will get a layer where the lines have been cut based on the polygons and each line segment has an attribute describing its length and some sort of ID field from the fishnet
+ Use ‘Spatial Join’ tool to join the attribute of this layer to the fishnet
+ Use symbology to make a coherent map
+ Similar approach works for forests