I am trying to filter the results from the API (Google Places) country wise.
I am aware I can do it, using code such as this:
let filter = GMSAutocompleteFilter()
filter.type = .establishment
filter.country = "SG"
SG is for Singapore but the thing is, where shall I place the code so that the results are filtered as per the country?
Related
I'm trying to download precipitation data for a list of latitude-longitude coordinates in R. I've came across this question which gets me most of the way there, but over half of the weather stations don't have precipitation data. I've pasted code below up to this point.
I'm now trying to figure out how to only get data from the closest station with precipitation data, or run a second function on the sites with missing data to get data from the second closest station. However, I haven't been able to figure out how to do this. Any suggestions or resources that might help?
`
library(rnoaa)
# load station data - takes some minutes
station_data <- ghcnd_stations() %>% filter(element == "PRCP")
# add id column for each location (necessary for next function)
sites_df$id <- 1:nrow(sites_df)
# retrieve all stations in radius (e.g. 20km) using lapply
stations <- lapply(1:nrow(sites_df),
function(i) meteo_nearby_stations(sites_df[i,],lat_colname = 'Lattitude',lon_colname = 'Longitude',radius = 20,station_data = station_data)[[1]])
# pull data for nearest stations - x$id[1] selects ID of closest station
stations_data <- lapply(stations,function(x) meteo_pull_monitors(x$id[1], date_min = "2022-05-01", date_max = "2022-05-31", var = c("prcp")))
stations_data`
# poor attempt its making me include- trying to rerun subset for second closest station. I know this isn't working but don't know how to get lapply to run for a subset of a list, or understand exactly how the function is running to code it another way
for (i in c(1,2,3,7,9,10,11,14,16,17,19,20)){
stations_data[[i]] <- lapply(stations,function(x) meteo_pull_monitors(x$id[2], date_min = "2022-05-01", date_max = "2022-05-31", var = c("prcp")))
}
I'm trying to query data from the OSM Overpass API. Specifically I'm trying to determine the count of amenities of a given type around a point (using the 'around' syntax). When running this for many locations (lat, lons) I'm running into a TooManyRequests error.
I have tried to work around by setting sleep time pauses and playing with the timeout header and retry time, but I'm running into the same issue. I'm trying to find a way to adapt the query so that it just returns the count of amenities (of specified type) around each point, rather than the full json of nodes which is more data intensive. My current script is as follows;
# Running Overpass query for each point
results = {}
for n in range(0, 200):
name = df.loc[n]['city']
state = df.loc[n]['state_name']
rad = df.loc[n]['radius_m']
lat = df.loc[n]['lat']
lon = df.loc[n]['lng']
# Overpass query for amenities
start_time = time.time()
api = overpy.Overpass(max_retry_count=None, retry_timeout=2)
r = api.query(f"""
[out:json][timeout:180];
(node["amenity"="charging_station"](around:{rad}, {lat}, {lon});
);
out;
""")
print("query time for "+str(name)+", number "+str(n)+" = "+str(time.time() - start_time))
results[name] = len(r.nodes)
time.sleep(2)
Any help is much appreciated from other Overpass users!
Thanks
In general, you can run out count; to return a count from an overpass API query.
It's hard to say without knowing how your data is specifically structured, but you might have better luck using area to look at specific cities, or regions.
Here is an example that returns the count of all nodes tagged as charging station in Portland, Oregon:
/* charging stations in portland */
area[name="Oregon"]->.state;
area[name="Portland"]->.city;
(
node["amenity"="charging_station"](area.state)(area.city);
);
out count;
At the moment I'm using the Overpass API to query from OpenStreetMap using https://overpass-turbo.eu/ but when I use the following code, not all the schools in the area appear on the map (e.g. Holy Cross College doesn't appear).
area[name = "Council of the City of Ryde"];
node(area)[amenity = school];
out;
Anyone know why this might be the case?
Thanks for any help!
OpenStreetMap data consists of three basic elements: nodes, ways and relations. Your query searches only for nodes. Some schools will be mapped as ways and a few others as relations.
You have to change your query in order to search for all three elements:
area[name = "Council of the City of Ryde"];
(
node(area)[amenity = school];
way(area)[amenity = school];
relation(area)[amenity = school];
);
out;
Alternatively just use the keyword nwr to search for all three elements:
area[name = "Council of the City of Ryde"];
nwr(area)[amenity = school];
out;
If there are still missing schools then either they are mapped with a different tag or they are missing in OSM. In the second case feel free to add them yourself.
I am trying to compute a percentage difference between two values - market index levels separated by a period of time (the period will be determined by user input in a Power BI Slicer tool). I don't understand how I can cross reference values DAX uses by the associated date.
Value % difference from Value =
VAR __BASELINE_VALUE = SUM('Equity Markets (2)'[Value])
VAR __VALUE_TO_COMPARE = SUM('Equity Markets (2)'[Value])
RETURN
IF(
NOT ISBLANK(__VALUE_TO_COMPARE),
DIVIDE(__VALUE_TO_COMPARE - __BASELINE_VALUE, __BASELINE_VALUE)
)
"Value" is a column in a table "Equity Markets (2)" the table also includes a "Date" column.
What is the syntax for selecting a value from Value based on an associated date?
Apologies for asking such a basic question - feels like 30 sec of googling should have done it for me.
The slicer is engaging with the bar graph correctly - I know becouse I'm measuring the levels. I think all the % changes are zero because I'm evaluating x/x -1
percentage change =
VAR
__EarliestValue = CALCULATE(SUM('Equity Markets (2)'[Value]),
FIRSTDATE('Equity Markets (2)'[Date]))
VAR __LastDateValue = CALCULATE(SUM('Equity Markets (2)'[Value]),
LASTDATE('Equity Markets (2)'[Date]))
RETURN
CALCULATE(
DIVIDE(__LastDateValue,__EarliestValue)-1)
I'm trying to plot multiple pins coming from a feed on a mapView. The feed is being parsed in the following format into the NSMutableArraycalled items:
{
date = "19/02/2013";
firstname = Tom;
latitude = "52.45321";
longitude = "-1.7172";
name = "Birmingham NEC";
surname = Thompson;
time = "10:15";
}
How do I go about doing this? Also do I need to pull the longitude and latitude from items into a different array or can I used items as it is?
If you follow this tutorial you will learn everything you need to do .
http://www.raywenderlich.com/21365/introduction-to-mapkit-in-ios-6-tutorial
Good luck