Hi
everyone,
This seems
(again) a very simple question but Im not able to get this work. I have point
data from the Canadian National Forest Inventory. This inventory was realized
using a grid of 20 regularly spaced points. Even though I have access to the
point data, I dont have the grid data. Actually, I would like to use the grid
data in order to do some moving window analyses. Plotting the point makes it
obvious that these were generated using a grid. I used the points2grid in order
to convert Grid. However, I get this error message :
library(rgdal)
nfi_centroid
<- readOGR(".", "nbie")
coord_nficentroid<-coordinates(nfi_centroid)
grid_new
<- points2grid(SpatialPoints(coord_nficentroid),
tolerance=sqrt(.Machine$double.eps), round=NULL, fuzz.tol=3)
suggested
tolerance minimum: 0.40961317562634
Erreur dans
points2grid(SpatialPoints(coord_nficentroid), tolerance =
sqrt(.Machine$double.eps), :
dimension 1 : coordinate intervals are not
constant
However,
one could see that intervals are constant except, of course, when points fall
in water. I tried with a subset of points that excluded any point skipping due
to water and got that same result. Im a little bit puzzled
Im surely missing
something!
Thanks for
the help!
Yan
Using R
2.11.1
The original
projection was :
Projected
Coordinate System: NAD_1983_Albers
Projection:
Albers
False_Easting:
0,00000000
False_Northing:
0,00000000
Central_Meridian:
-95,00000000
Standard_Parallel_1:
49,00000000
Standard_Parallel_2:
77,00000000
Latitude_Of_Origin:
49,00000000
Linear
Unit: Meter
Geographic
Coordinate System: GCS_North_American_1983
Datum:
D_North_American_1983
Prime
Meridian: Greenwich
Angular
Unit: Degree
Heres
a subset of the point data for New Brunswick.
coordinates Id
1 (2200320, 384479) 0
2 (2192230, 366274) 0
3 (2095010, 343514) 0
4 (2165910, 356022) 0
5 (2076780, 351499) 0
6 (2184140, 348078) 0
7 (2202370, 340149) 0
8 (2157810, 337828) 0
9 (2113240, 335544) 0
10 (2149700, 319642) 0
11 (2068680, 333298) 0
12 (2176040, 329890) 0
13 (2131470, 327586) 0
14 (2105140, 317356) 0
15 (2060570, 315108) 0
16 (2167930, 311709) 0
17 (2086910, 325320) 0
18 (2194270, 321966) 0
19 (2042340, 323093) 0
20 (2078790, 307135) 0
21 (2186160, 303791) 0
22 (2123360, 309404) 0
23 (2159810, 293539) 0
24 (1981530, 284526) 0
25 (2034220, 304904) 0
26 (2141590, 301465) 0
27 (1989650, 302709) 0
28 (2222600, 287994) 0
29 (2070670, 288956) 0
30 (2097020, 299175) 0
31 (2052450, 296924) 0
32 (2007870, 294710) 0
33 (2115250, 291229) 0
34 (2088900, 281003) 0
35 (2151690, 275374) 0
36 (1963300, 292533) 0
37 (2178040, 285625) 0
38 (2026100, 286723) 0
39 (1973390, 266350) 0
40 (2206340, 251692) 0
41 (2133470, 283295) 0
42 (2169910, 267467) 0
43 (2017970, 268551) 0
44 (2196260, 277725) 0
45 (2044320, 278750) 0
46 (1999750, 276532) 0
47 (2188130, 259573) 0
48 (2036190, 260582) 0
49 (2054410, 252625) 0
50 (2107120, 273062) 0
51 (1955170, 274350) 0
52 (2214470, 269839) 0
53 (2062550, 270788) 0
54 (2125340, 265134) 0
55 (2143560, 257219) 0
56 (1991610, 258362) 0
57 (2232690, 261965) 0
58 (2080770, 262838) 0
59 (2250900, 254106) 0
60 (1965250, 248184) 0
61 (2224550, 243825) 0
62 (2072630, 244684) 0
63 (2098990, 254904) 0
64 (2109060, 228836) 0
65 (2161770, 249317) 0
66 (2009830, 250387) 0
67 (2269110, 246260) 0
68 (2117200, 246982) 0
69 (2331860, 240924) 0
70 (2179990, 241429) 0
71 (2028050, 242424) 0
72 (2135420, 239072) 0
73 (1983470, 240202) 0
74 (2242760, 235970) 0
75 (2090840, 236753) 0
76 (2198200, 233554) 0
77 (2046270, 234474) 0
78 (2305520, 230608) 0
79 (2260960, 228130) 0
80 (1957100, 230026) 0
81 (2234610, 217843) 0
82 (2315560, 204691) 0
83 (2163690, 205166) 0
84 (2216410, 225692) 0
85 (2064480, 226536) 0
86 (2323720, 222803) 0
87 (2171840, 223293) 0
88 (2019900, 224274) 0
89 (2279170, 220303) 0
90 (2153630, 231176) 0
91 (2001690, 232232) 0
92 (2100910, 210701) 0
93 (1948950, 211877) 0
94 (2127270, 220933) 0
95 (1975320, 222049) 0
96 (2082690, 218612) 0
97 (2190050, 215424) 0
98 (2038110, 216330) 0
99 (2297370, 212490) 0
100 (2145480, 213043) 0
101 (2252810, 210010) 0
102 (2208250, 207567) 0
103 (2056330, 208398) 0
104 (2165550, 161088) 0
105 (2281040, 176281) 0
106 (2129150, 176804) 0
107 (2272870, 158190) 0
108 (2271010, 202188) 0
109 (2119110, 202803) 0
110 (2074540, 200480) 0
111 (2226450, 199725) 0
112 (2066370, 182357) 0
113 (2147350, 168939) 0
114 (2254680, 165986) 0
115 (2181890, 197303) 0
116 (2029960, 198195) 0
117 (2289210, 194380) 0
118 (2137320, 194919) 0
119 (2244650, 191898) 0
120 (2092740, 192575) 0
121 (1940780, 193737) 0
122 (2200090, 189452) 0
123 (2048160, 190269) 0
124 (2155520, 187049) 0
125 (2262850, 184082) 0
126 (2110950, 184683) 0
127 (2218290, 181616) 0
128 (2173720, 179191) 0
129 (2120980, 158699) 0
130 (2236480, 173795) 0
131 (2084580, 174458) 0
132 (2191920, 171347) 0
133 (2039990, 172149) 0
134 (2299230, 168494) 0
135 (2102780, 166572) 0
136 (2210120, 163517) 0
137 (2058200, 164243) 0
138 (2228310, 155700) 0
139 (2094600, 148470) 0
140 (2076400, 156350) 0
141 (2220130, 137616) 0
142 (2068220, 138252) 0
143 (2183750, 153250) 0
144 (2112800, 140604) 0
145 (2139170, 150840) 0
146 (2246500, 147898) 0
147 (2201940, 145427) 0
148 (2050020, 146139) 0
149 (2157370, 142996) 0
150 (2264680, 140109) 0
151 (2193750, 127345) 0
152 (2203740, 101476) 0
153 (2175560, 135164) 0
154 (2130990, 132751) 0
155 (2238310, 129820) 0
156 (2086410, 130378) 0
157 (2149180, 124911) 0
158 (2256490, 122037) 0
159 (2104610, 122518) 0
160 (2211930, 119542) 0
161 (2060020, 120164) 0
162 (2167370, 117086) 0
163 (2122800, 114671) 0
164 (2230120, 111751) 0
165 (2078220, 112296) 0
166 (2187320, 65377.6) 0
167 (2160920, 55121.2) 0
168 (2185550, 109274) 0
169 (2140980, 106838) 0
170 (2248300, 103974) 0
171 (2096410, 104442) 0
172 (2240090, 85921.7) 0
173 (2088200, 86376) 0
174 (2124570, 70720.6) 0
175 (2159170, 99019) 0
176 (2114600, 96602.2) 0
177 (2221920, 93691.9) 0
178 (2070010, 94223.2) 0
179 (2177350, 91213.9) 0
180 (2132780, 88774.2) 0
181 (2195530, 83422.5) 0
182 (2150960, 80962.3) 0
183 (2106390, 78541.3) 0
184 (2213710, 75643.1) 0
185 (2169140, 73162.6) 0
186 (2205490, 57605.4) 0
187 (2079990, 68319) 0
188 (2142750, 62914.6) 0
189 (2116350, 52677.1) 0
190 (2179100, 47343.4) 0
191 (2134520, 44877.3) 0
192 (2170870, 29318.1) 0
193 (2152700, 37090.6) 0
194
(2198950, -4186.01) 0
Yan Boulanger
Dendrolab - Datation de bâtiments patrimoniaux par dendrochronologie
www.dendrolab.ca
i...@dendrolab.ca
Université du Québec à Rimouski
Département de Biologie
Centre d'études nordiques
300, allée des Ursulines
Rimouski, PQ G5L 3A1
(418) 723-1986 poste 1482
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