Geography 335 Lab 3
Report
Ian Godin
Objective: The objective of this lab was to use various
geoprocessing tools to determine the locations of suitable bear habitat within
a study area in Marquette County Michigan. Using data that showed the locations
of the bears within the study area, geoprocessing tools were used to narrow
down the preferred habitat of the bears and locate bear habitat that is in DNR
management areas.
The first objective for this map
was to determine what would make suitable bear habitat. Using the locations of
bears and a shape file of land cover types, an intersect was performed to show
which type of land cover the bears preferred. These include mixed forest land, forested
wetlands and evergreen forest land. These layers were selected in a query and a
separate layer was made from the selection Based on information that bears
prefer to live in habitats within 500 meters of a stream or river, a buffer was
performed on the streams feature class. This buffer result was then intersected
with the land cover selection to further narrow down bear habitats.
The
second part of the assignment asked to locate suitable bear habitat that was
within a DNR management zone and at least five kilometers from urban or built
up land. First, an intersect was performed using shape files that contained the
boundaries of the study area and of DNR managed lands. The result was a map of
DNR managed lands within the study area. This result was intersected again with
the previously made feature class showing the best bear habitats to create a
map showing the best bear habitats within DNR managed areas. In order to
determine which habitats were at least 5 km away from urban and built up areas,
an attribute query was performed on the land cover feature class to select
urban land. A buffer was then performed on this selection. Finally, an erase
was performed on the buffer to remove these areas from the map. The final map is shown
below.
Also shown is a data flow model to outline the steps I took to create this map.
This lab also introduced us to Python coding. Using simple code, I performed a buffer analysis of the streams feature class. The code is shown below.
Overall
I enjoyed this lab due to the way it allowed us to us G.I.S in a real world
scenario. While the workbook teaches how to use the different components of
G.I.S, this lab had us perform tasks that one would actually perform in a
workplace setting.


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