I would use both as I am marking the location of a household, and the land use of the household, therefore:
Vector - location of the household
Raster - crops being grown by the household
Location of nest boxes would be vector points, and estimated territory range would be vector polygons.
I had both, vector data as lines and points as location where vulture with gps tracker went but also line between those locations, I overlap this vector to thematic raster representing the land use and the habitats to better understand the animal behaviour
Hi, Matthew can you explain me why the data regarding the crops is Raster ? I would have it in vector polygon instead…
Thank you
Raster data works better for my research as I’m researching about vegetation density
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My data will include location of seagrass beds (vector; likely points as seagrass beds show patchy distribution) and invertebrate community composition (raster; thematic for species absence of presence)
The spatial data model works best for my own field data are both vector and raster. I can use vector point to collect data of the location and sighting of Philippine Eagle and use this point to make vector line data to see their movement pattern from their home range to another location. While the raster will be can use to identify the type of vegetation and habitat that is favorable for the survival need of the eagle in the wild.
I will soon be working on the ecological functioning of mangrove ecosystem. vector points can be used to collect data on location of mangrove crabs and the thematic raster for the land cover. thank you
It is certainly a bit ambiguous to just classify or choose only 1 data typel for your own project / model.
I think it is good to combine both.
Although personally, for the experience and the work that I have done so far (biogeographic data of distribution or land use applied to herpetology) are more useful the Raster data, specifically the thematic ones like land use or Ecoregions.
But the continuous ones (precipitation, insolation…) are also important and influential for this type of work.
I use vector data in the form of camera trap locations, livestock kraal and homestead locations and animal movements (lines). I also have raster layers in the form of seasonal data (rainfall) and vegetation type, and animal territories.
My data are a mix of vector and raster. I have GPS data from tagged birds: these are point vectors, from these I can calculate the bird’s home range, which are polygon vectors.
I also look at the habitat which would be raster data, specifically thematic as the info is categorical, e.g. vegetation class, numerical scores for vegetation density
For now, I’m using
Vector - occurrence data
Raster - DEM, Forest cover
I’m working on the presence and absence of sea turtle nest on the beaches and their nesting preferences in a coastal landscape. Both vector and raster data model could be used for mine study. presence and absence of nest will be represented by point vector data and geomorphological data such as sand profile and beach profile will be represented by continuous raster data.
in my line of work as a gis expert i will be using both the vector and raster data
example using vector data
road construction
knowing the numbers and types of buildings in an area
example of raster
vegetation cover
spread of the corona pandemic
ocean temperature change
The question is tricky but
To represent geospatial data from those questions,
Raster model should be continuous if measuring physico-chemical parameters of water body.
Vector model goes with location (point)just like sustainable model.
I will mainly be using vector data in my work. I will have polygons of seagrass beds and lines and points representing my transects and places where I have sampled.
We can show the different layers of Getbol such as sand flat and mudflat with polygon are called vectors. Showing the density of it is called raster. For the Marine Mammals stranding site, I could use vector dataset: point and polygon.
I use a mix of both continuous & thematic raster data, but most of it is continuous climatic variables. Vegetation, soil, crop datasets are all things I use that are thematic!
I would be using both kinds of spatial data, as it’s a new project site. I would be keen to have the soil type data, topography/elevation and habitat classification Raster layers, so mostly Thematic and then build on that with layers for fences, land parcels for grazing, camera trap locations, vegetation management areas, covering a mix of point, line and polygon.
I don’t currently use GIS data in my work, but there’s a lot of potential to do so. We collect non-invasive samples from primates, so each day in the field we take a GPS point to mark where we began collecting on that day–those would probably be best displayed as points in a vector dataset. However, if we took multiple points during the day we could generate a dataset of lines or polygons. Raster data would be informative here too, as the field site is a mosaic of forest and savanna. It could be either thematic (subdividing the region into forest or grassland) or continuous as in an aerial photo or an elevation map. Some of our focal species are radio-collared, and it would be very interesting to map their movements using either points or lines in a vector layer, especially if it was layered over a raster dataset showing habitat types.