I would like to show the distribution of the Rock wren (X. gilviventris) in New Zealand Aotearoa. A simple goal, at first. In the future I will also be creating expected distributions in response to climate change - a more complicated mission. Does one choose to represent probabilities as continuous or categorical? How much information about elevation should be conveyed? How to convey the changes in the climate variables (if at all)? How to show changes in future relative to present? Two maps? One overlaid map?
I have no new data, yet would like to see my previous data to do a new trial
The message of my map is to display the fauna sightings of an aerial survey flight in the Wonga Wongué Presidential Reserve of Gabon. There will be a different colored icon for each type of animal, and these sightings will be overlaid onto the flight track (GPX). This map will hopefully give the viewer a visual overview of the fauna distribution in the savannah during this particular flight, and in theory they will then be able to compare this map to previous and future maps of the same survey to study the trends.
Seagrass cover and species
I would like to create maps to show the distribution of primates and their home range.
I want to create a home range map for lions in selected protected areas in Zimbabwe.
To show sampling sites and record places with high microplastic pollution.
A mapping project that I would like to carry out is the representation of the abundance and distribution of a particular marine sponge species. I would like the message of my map to be that abundance and distribution of this species are related to environmental factors as e. g. the nature of the substratum and the water flow in the area. Based on this, I imagine that I would use multiple layers with vector data showing abundance and distribution of the sponge specimens in different sectors of the whole area that is being mapped, plus at least a layer showing raster data with the geological characteristics of the substratum, if it’s possible. As for the water flow, I wouldn’t really know how to represent it: any suggestions about that?
@Clara , I’m interested in your project given the similarities with mine (they both focus on marine sessile organisms). Which layers would you consider to include in your map?
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Map of the distribution of Nomascus concolor and the threats they face in Chế Tạo Nature Reserve in northern Vietnam
The message is there are occurrence data outside of the edges of the protected area and this evidence supports the enlargement of the Chế Tạo Nature Reserve
I want to highlight the home range and distribution of the species I study. Also looking at other factors that might contribute to changes.
I would like to create polygons of my study sites and possibly a heat map to show the degree of infection per site
My map is to show bird distributions in open farmlands versus some selected protected areas. To see if their is a variation in habitat use.
Yes, I have see a number of people interested in distribution patterns for various species as well.
My map’s message is to show the distribution of Cape Mountain Zebra (Equus zebra zebra) in the Baviaanskloof from camera traps (this is hypothetical, I don’t actually have the data).
I would create an urban area map, showing different features that are in urban area such as buildings, rail ways, main roads with intersection, hospitals, schools etc… Urban areas maps are important because people travel from rurals to cities for urbanization, for bettering their life and opportunities so that they can bring food to the table for their families, these maps helps them to have prior knowledge about the new city or Urban settlement they will live in future. Urban maps are also important for visitors to use in terms of GPS when they are not familiar with place to travel around, it practically guards them around for directions/location of their desired destination.
I’ve been wanting to create a map of farmer size and location in California, along with land use and vegetation type on farms. this will hopefully help visualize how many small farms there are and the predominant types of crop… this can further be used to compare to maps of droughts, water use, wildfires, etc.
I’d like to create a map showing the coral reefs in my homeland, along with urban areas where fishermen live and whose livelihood depends on the reefs.
This sounds really interesting! Would you include data about the habitat or the land use?
I would like to make several maps so will choose a couple of different ones here. I would like to make a map showing the distribution of the individual black mangrove (*Avicennia germinans) trees within a the small 20ha forest that is the key habitat for the Critically Enandgered mangrove finch. This tree species is the least abundant in the forest and their preferred nest tree. We did a census of all trees to assess whether they had signs of dieback/impacts from a boring ambrosia beetle. I have a data set of all tree locations in thei forest and whether they were entirly dead, partially affected or healthy. I would like to plot these all on one map of the underllying forest area. At a larger scale I would like to plot the layout of all 100 5 minute bird counts that we have set up across a catchment as part of our monitoring as we conduct introduced species control acorss over 3000ha of remaining coastal native forest.
I would like to show the diatribution of coral reefs type in Zanzibar.
I would like to use maps to show the social dynamics from conservation projects, as well as ecological variables within those projects.