I believe the data model that works best for me would be vectors. This is because with my organization I would be mapping previous burn zones as well as potential new ones based of their fire risk. I believe the best way to do this would be through polygons.
Well, I think I would use both data, Vector and raster, for example my bird count points would be represented as points in vector format, while the data such as diversity or density of birds that I obtain with my count points would be represented in raster format.
I’m currently working with both vector and raster data. My bachelor’s thesis is about occupancy models of Leopardus geoffroyi, so I have vector data of the camera trap stations, but also raster data of the prescence/abscence of the species, also of the study area.
I am interested in doing camera trapping and study home range of primate which will be using vector for movement and location while raster used for vegetation type.
I would think both works! Raster in the form of types of reef substrates and vector in the form of area of being protected.
Almost all my data are currently locations. Probably best represented by vector (coordinate) data
I’m still in the studying phase, but I work a lot with soil and agriculture data. From what I understand raster data can be easier to process when representing different locations and is the preferred choice when showing temperature and other types of range data and for land cover. I could see vector data being used for specific location points, or to represent fixed positions, cities, dams, infrastructure, trees, river flow, etc when showing characteristics of field plots or if I want a more detailed, accurate reference map, I would choose vector data.
I found this resource very concise on vector data and it has helped me understand when to make a choice for raster vs vector data: Vector Data
Good morning follow participants
For my project, I collected vector data including location of features, leaner tracks of animals and boundaries of my study area. some vector points like anomal counting or location of vegetation transition will be used combined to satelite imagies to produce raster data for animal dansity, landcover categories. Then, the animal density will be quantities mainwhile the landcover categorie will be the thematic raster data.
Thanks
For my project the vectors would be used as I will be taking points which would represent the caves in my field sites. the raster component would be vegetation around the area
My data is composed of dolphin sightings which are single points, so vectors. Then transact lines which are rasters
For my case, as I collected GPS data on species distribution (species presence), this is a vector data and the layers are points. However, I think I can change this layer into polygon if for example, I want to estimate the area of occupancy of the species (or home range), not sure though.
I am very interested in this LandCoverDataset, and how each type of vegetation is classified.
Perhaps it is a very long and difficult way to understand all the processes to do this classification but my question is if I want to have this type of data (vegetation class in raster format) in my study area in Madagascar, could you tell me where to get it? I guess when I get it, I have to use the PDF “Copernicus Land Cover Classes” to identify all types of land cover in my area.
Thanks.
My data is mostly currently in point form, being individual animal sightings. So as a vector layer. However to represent this collected data over a real world map i would need to add raster layers, such as vegetation type/density or features such as rivers/ floodplains.
I’ll be using aerial photographs to map the distribution of seagrass, so I suspect a mix of several rasters (aerial imagery with seagrass pixels marked, as well as depth data, salinity data and other water quality measures ) and vectors (polygons delimiting extent of the estuary as well as point vectors showing sampling sites and ground truthing sites) will be useful.
In 2020 for my Honors thesis I sampled cluster roots of two different Protea species, so the location of each individual plant would have been my point vectors and soil type and pH of soil would be continuous rasters.
For my project I would use points to visualize the sites where the released/wild-bred birds are reported, based on public sightings. These points can be further classified based on the behaviour and used to create heatmaps of distribution in the form of rasters (continuous I believe). The points can also be overlapped with land cover maps to visualize possible consistencies between behaviour (for exampe foraging) and land use.
This is a rather tricky question. I am working with seagrass restoration. If I had to demarcate the areas currently occupied by seagrass meadows on a map (i.e. their current distribution) I would assume this is vector data and that a polygon would be used to delineate these areas. However, if I wanted to show the various habitats present within a single estuary along with my seagrass data (as a type of comparison), I suppose thematic raster datasets could be used - where each habitat type on a map is shown.
One project I am helping with is to monitor nestbox usage by kestrels. I think that the location of the nestboxes would be represented using point vectors. I am not sure if the number and ages of kestrels at each nestbox would also be represented by point vectors.
I am a student and don’t have any ongoing study or data collection.
At the moment, I do not need to use GIS. But in the future, I would potentially use GPS coordinates from tracking collars (vector data) and vegetation types (raster data) for baboon populations
I use both vector and raster data. I need to know habitat type and within the habitats I need the locations of suitable nest trees for our birds.