I am new to Netlogo, but want to use it for my next ABM. However I can't find any information on the ability of Netlogo to use 2D time series as drivers for the turtles. I know that Netlogo can use static information like bathymetry, but what about temperatures and spatial changes in temperature over time?
Can anyone point me in the right direction or describe if this functionality is present.
Edit: To expand on the issue. If I want a turtle to respond to rainfall, and I have a file with spatial information on the hourly rain fall, like a weather map, that changes in time and space. How would I go about loading this file? And if this is possible, which file types would be usable?
If you want current decisions to be based on past information, then you only need to gather that information over time and analyse it. The stats extension provides an easy way to gather past information and then to run regressions on it. You might see if that serves your purpose.
You can find more information at https://github.com/NetLogo/NetLogo/wiki/Extensions, under Community Extensions.
Related
I have been creating a twitter bot to post satellite images of random coordinates and I have found that the vast majority are of the ocean, so I would like to somehow make the bot detect that the entire photo is blue and repeat the process. The bot code is available here.
Thanks in advance.
As an alternative to employing machine vision to assess the content of the image to determine whether to sample again, you could simply sample from coordinates that are not the ocean! There are many files produced by geographers that have sought to map the boundaries of the world's continents.
For example, see here for code to do so. You'll need to understand projections and other features of Geographic Information Systems if you want to get extremely accurate, but you can get reasonably accurate using the polygons for oceans. If you REALLY wanted to get accurate, you could obtain a set of shapefiles that partition all possible coordinates (rather than a single "world" shapefile) and use the more-detailed mapping that may accompany those more-zoomed-in shapefiles.
Alternatively, you can implement the model here, provided in a guide to water detection in satellite imagery using Python.
The below linked map contains a number of layers which I would like to be able to extract as polygons [if possible]. I've not previously done any web-scraping and realise that doing so in regards to the geographic data on this system represents a significant challenge.
Ideally I would only want to extract the data relating to the 'Shopping Local Centre' category.
Happy to try to use Phython or R to achieve such, just wondered if anyone had any ideas.....
Web scraping (using BeautifulSoup, for example) would get you the HTML objects from a webpage. You would need basic knowledge of Python for this.
Or you could avoid that by going this route:
With QGIS and Geofabrik you can gather retail location polygons and their attributes of a given area.
Use Geofabrik to download your area of interest in *.shp (shapefile) format. It looks like you're in Greater Manchester, so I navigated to the download page here (it's a 50MB file for the greater-manchester-latest-free.shp.zip).
Once you download that, open it in QGIS and you'll see in the attributes it has retail locations.
That site is using WMS to display the map (I work for the company that makes iShare) so there is no vector content for you to scrape as it works entirely with images.
The easiest way to get the data would be to ask the council to provide it, you might need to make it a freedom of information request but they should be happy to provide the data in a usable GIS format.
I have a spreadsheet with columns for person, date, event, place name, latitude, and longitude. This is the result of many years of genealogical research that shows the birth, marriage, and death locations for several hundred of my direct ancestors as they migrated across the world and finally converged in South Africa for the last few generations.
I'd very much like to create an animation or video showing their movements over time, preferably with a marker flashing at the location, then fading away, with or without lines linking the markers for the duration of the person's life. At 9 generations ago this would then show 512 births happening at roughly the same time, moving on to them converging into 256 places as couples got married, then between those 256 marriages and the original 512 deaths, the 256 births of people of the next generation would flash on, and so on, finally converging on just my birth. I believe such an animation would be an excellent way to make the vast family tree accessible in a visual way, and other genealogical researchers would probably also enjoy doing this. The ability to automatically zoom in on the bounding box of the locations at any given time would be needed to show movements within a smaller geographic location, but first and foremost I simply want to plot points over time.
Does anyone know of a free or commercial tool that would allow doing this? I have explored this in most genealogical software solutions but they provide very limited tools showing one person or one couple at a time, so I suspect I'm going to have to plug this into a generic 'plot movement over time' tool in a good map service.
I have used GraphXR for plotting family tree members linked to one of their several maps, with the edges being either a birth, marriage or death date. The data is queried from Neo4j which has a seamless interface with GraphXR.
I'm now working on a Neo4j PlugIn for genealogy and collaborating with GraphXR developers to make such visualizations easier for end users.
It's not exactly what you are looking for, but it may be helpful?
http://gfg.md/blogpost/7
I am trying to retrieve information about trees surrounding a given location from the Socrata API.
API Endpoint Description
I found two functions within_circle(...) and distance_in_meters(...) which I could use to filter the data set. The problem is, that those functions need either a location or a point data type which is not present in the data set.
There is, however a latitude and longitude field.
Is there any method to utilize those functions or get nearby trees other way?
Tried this, but POINT(0 0) must be the point of the tree.
https://data.cityofnewyork.us/resource/nwxe-4ae8.json?$where=within_circle( 'POINT(0 0)' ,0,0,400)
I need something like this.
https://data.cityofnewyork.us/resource/nwxe-4ae8.json?$where=within_circle( make_point(latitude, longitude) ,0,0,400)
SoQL
If you have not already done so, you may want to submit this question at https://support.socrata.com. In addition to the possibility that the people there will have an answer I do not, it would serve as some feedback that a function like what you had in mind would be useful.
I cannot think of a way to do exactly what you have in mind. Really, what I mean is a way that is within your power (or mine). The owner of the dataset could create a Point column -- and you may want to reach out to the NYC open data team to ask for that if you have not already done so.
However, since the X and Y coordinates, in feet, are present, you should be able to use the Pythagorean theorem to determine the distance from any given point. For that matter, the size of a degree of latitude or longitude cannot vary that much over an area as small as NYC so you could do the same thing with those values and save having to figure out the X and Y of your reference point.
Good luck!
Jon
To get some "visual alerting", I'd like to draw simultaneously two curves on the same graph in Grafana:
current time-window graph
same graph but with 7 days ago data
The idea is to be able to compare data evolution on the same day in the previous week.
I could not find a Graphite function for that (but I may have missed something in the doc).
Is there a way to do it?
You can use timeShift to make a metric in grafana with your series shifted back a week.
This kind of thing is also a good application for series-specific display overrides in grafana, so you can make the shifted series display differently from the current data.