I like the colouration and contrast on your map. Nice! Perhaps you can try to change the yellow colour of the NomascusConcolor_Distribution layer to something more striking. Yellow and green background sometimes doesn’t standout clearly. The “OpenStreetMap_CheTao other_relations” comes bundled together with the OpenStreetMap_CheTao.osm file. But like you, I am not quite sure what it represents, but I think we have not touched on that for this module.
Anyway, nice work!
I think this module is quite hard for me to follow. Either I did not unzip the file/ press wrongly/ forgot to press/ do not know what to press. This is my many attempt and thank you so much to @Michelle_Yee for your teaching.
Thanks for your answer @Edmund , you’re right about colorations 
, it is more visible when I changed it here :
Nice job @Elvia , you may just take a look at your layer’s order : points on the top, followed by lines then polygons and raster layers on the bottom, so that your “OpenStreepMap_CheoTao points” will be clearly shown and “NomascusConcolor_Distribution” will not be hiden by the green polygon layer.
wow! this is impressive
I selected this representation to show Gibbon sightings with the greatest amount of comparison between roads and features from sources like multilinestrings and CheTao lines. I hid layers that had too low resolution to be informative at the scale of gibbon sightings. The files, VNM_roads.shp, VNM_cov.qml are giving me “Invalid layer” errors saying the “Provider is not valid”. However, it seems that I was still able to visualize the content. The exercise gave me further context on the variety of available databases and source files. However, it also made me aware that learning about file types and deciphering naming templates could be an extensive effort.
Foggygoggle, The visual appeal of your map stood out to me among the selections. I looked up Wonga Wongue on google maps to get a better understanding of what I was looking at before commenting. I was curious to know wha the dark grey area containing the elephant sightings represented, as the national park on google maps seems to have a slightly different shape. I don’t really have suggestions for improvement except that annotation would make your map really exceptional. I learned from your example that taking time to consider choice of colors can really make a big difference. Thanks!
The second assignment is very helpful in understanding many different aspects of the geospatial data model. First, adjusting symbology was an excellent way to display data for the target audience effectively. Second, the distinction between the vector and the raster data models gave good insight into reinforcing the geospatial data with field measurements. Third, the process of uploading and adding additional vector/raster layers allowed for detailed interpretation of the Gibbon sighting survey and landscape characteristics. Further, the geospatial data sources (country and landcover visual data) used in the assignment will be useful in future projects.
I encountered a couple of issues while completing this assignment. When I uploaded the VNM_cov data, a message saying “Invalid data source” popped up at the top of the QGIS window. I assume the data didn’t unzip correctly hence the error message. I moved it to the bottom of the layer panel to exclude its visual impact on the topmost layer, for now.
This task was a little bit tricky and it wasn’t easy complete well. I got confused many times, after some attempts, analyzing my partners’s maps and read the instructions again I finally realized what problems I had. From all of my attempts this one is my favorite, because it’s easy to understand, its image quality is excellent and a liked the result.
In this module I’ve learned new things such as raster and vector data and its variables as well as uncertainty. This knowledge absolutely will make me improve my skills in satellite mapping for future investigations!!
@apuuli Thanks for your comments! Wonga Wongue is actually a Presidential Reserve and not a national park, and the file that I have on QGIS is the most current park boundary - the one on Google Maps is not exactly accurate. By the end of the course, I am hoping to learn how to add annotations!
Hello,
Here’s my screenshot for this week. I found the bits with the vector/raster and technical terms explanations alright, althought becoming completely familiar with the vector/raster concept may take more time and practice.
However, the downloading of different data and layers was a little confusing at some point. I do wish they would go into what the .shp, .vrt, .grd etcetc filenames mean so that I don’t feel like I’m just blindly downloading and uploading files onto the software. Anyone else also confused by this?
I tried displaying the data as best as I thought it looked, but unsure if it makes any sense…
agreed! the files were really confusing for me too. But your map looks great!
Hy Dhivya
You did a marvelous job! I also think learning a bit more on these different types we download is a great idea.
Vuyisile
With this module I can now differentiate vector data and raster data. And been able to import them on my QGIS project.
With the uncertainty I now understand why it is necessary to be accurate in the field when collecting data.
When acquiring data especially rater data it is good to look for the one whit good resolution (minimum pixel size) because this could give us more details or information
At the Resolutio and Extent section, I had difficulties to produce VNM_cov.vrt and VNM_cov.grd files for myself part. I first though that they asked us to add the file named VNM_cov.qml download form instruction number three.
To solve the problem I restarted the process by removing all additional files in my QGIS project. Then gradualy I was reading and add files before I realized that, at point 3 they asked us to save the land cover file imported from Vietnam. Am I wrong ?
Hello Vuyie. This look good. but you could have improve the view of your VNM cov file (raster) with the singleband pseudocolor option in the symbology. So, double click on the file+choise symbology+Singleband pseudocolor+color option
Hi Sausilwal
I can see that you have master the symbology aspect. congrat. But you are decided to use green for many of your file and that reduce the actraction of the map. I think it is good to use different color and figure.
Your VNM cov could not deplay in the view section because it is under the OpenSourceMap. Thake it up and also apply the simbology on it by choising Singleband Pseudocolor.
Agreed! definitely learnt a lot after rearranging the layers. Great job man
I decided to simplify some of the data in order to give a clearer image when zoomed in. Hence I have removed some of the coarser data layers and kept quite a simple colour scheme.
It was good to learn the difference between Raster and Vector Layers. For my field work I will most likely develop Vector layers with sightings data, but will need to access Raster layers for background imagery on the maps.
I did struggle a little to fully understand the different types of Raster layers. I got the Vector layer quiz first time, but it took me a few attempts to fully understand the different in the examples on the Raster layer quiz. May need to revisit this as well to fully comprehend it. Might just be my interpretation of what the examples could represent are different to yours.
Into the future with my own work it is going to take a bit of trial and error as well to know exactly which data sets are needed to be uploaded to the map. This week we downloaded a whole bunch of different files but only uploaded a few items. Will need to go back to the glossary regularly I think to really get to grips with what each file extension represents and what it is needed for.
