library(geosphere)
d <- distCosine(df[, 1:2], df[,3:4])
On Thu, Aug 28, 2014 at 8:02 AM, Roger Bivand wrote:
> On Thu, 28 Aug 2014, Roger Bivand wrote:
>
>> On Thu, 28 Aug 2014, Sarah Goslee wrote:
>>
>>> On Thu, Aug 28, 2014 at 9:32 AM, Michael Sumner
>>> wrote:
On Thu, Aug 28, 201
On Thu, 28 Aug 2014, Roger Bivand wrote:
On Thu, 28 Aug 2014, Sarah Goslee wrote:
On Thu, Aug 28, 2014 at 9:32 AM, Michael Sumner wrote:
On Thu, Aug 28, 2014 at 10:50 PM, Sarah Goslee
wrote:
They don't make sense.
Best: convert them into a projection where the distances are in meters
alre
On Thu, 28 Aug 2014, Sarah Goslee wrote:
On Thu, Aug 28, 2014 at 9:32 AM, Michael Sumner wrote:
On Thu, Aug 28, 2014 at 10:50 PM, Sarah Goslee wrote:
They don't make sense.
Best: convert them into a projection where the distances are in meters
already, like UTM. Then distances calculated on
On Thu, Aug 28, 2014 at 9:32 AM, Michael Sumner wrote:
> On Thu, Aug 28, 2014 at 10:50 PM, Sarah Goslee wrote:
>> They don't make sense.
>>
>> Best: convert them into a projection where the distances are in meters
>> already, like UTM. Then distances calculated on your new coordinates
>> are in m
On Thu, Aug 28, 2014 at 10:50 PM, Sarah Goslee wrote:
> They don't make sense.
>
> Best: convert them into a projection where the distances are in meters
> already, like UTM. Then distances calculated on your new coordinates
> are in meters.
However great circle from lat/lon is arguably the best
They don't make sense.
Best: convert them into a projection where the distances are in meters
already, like UTM. Then distances calculated on your new coordinates
are in meters.
Latitude and longitude don't translate neatly into distances on their own.
Second best: find and use a great circle di
Dear geo R group
I have a data frame like this:
df <- data.frame(Lon = c(29.6000,29.7333,30.3887,30.6667,30.6833,30.8667), Lat
= c(-4.9000,-4.6000,-5.1280,-1.0667,-2.7500,-3.3833),
LonWater =
c(29.6,29.6,30.25000,30.65000,30.35444,30.83278), LatWater =
c(-4.31667,-4
