scholarly journals The use of the spatial trend surface model to predict the distribution of health cadres from pharmacists in Wasit Governorate

2021 ◽  
Vol 1804 (1) ◽  
pp. 012071
Author(s):  
Ass. Professor D. Auday Taha Raheem Al-Anbagy ◽  
Sjad hade manhal
Keyword(s):  
Surface Model ◽  
Spatial Trend ◽  
Trend Surface

Application of 3 "S" Technologies in Information Extraction of Nuclear Leakage Accident

2013 ◽  
Vol 718-720 ◽  
pp. 2011-2014
Author(s):  
Dong Hui Zhang ◽  
Ying Jun Zhao ◽  
Chuan Zhang ◽  
Ning Bo Zhao ◽  
Dong Hua Lu
Keyword(s):  
Information Extraction ◽  
Spatial Dimension ◽  
Temporal Databases ◽  
Surface Model ◽  
Analysis Model ◽  
Temporal Dimension ◽  
Position Information ◽  
Trend Surface ◽  
3S Technology ◽  
Building Process

The paper analyzes the theories of nuclear leakage accident information extraction based on 3S technology, and studying roundly the building process of GIS spatial and temporal databases; the contents of RS images collection and the function of GPS geography position information. In addition, information extraction and analysis methods both on spatial dimension and temporal dimension are summarized. The spatial distribution and trend of radiation leak after the nuclear accident are simulated by trend surface model. Calculation and mapping shows the variation of the radiation value with time using time series analysis model.

Trend surface analysis of spatial patterns of tree size, microsite effects, and competitive stress

1986 ◽  
Vol 16 (2) ◽  
pp. 279-282 ◽  
Author(s):  
A. J. Thomson
Keyword(s):  
Surface Analysis ◽  
Spatial Patterns ◽  
Three Dimensional ◽  
Tree Size ◽  
Dimensional Representation ◽  
Trend Surface Analysis ◽  
Individual Tree ◽  
Spatial Trend ◽  
Trend Surface ◽  
Three Dimensional Representation

Trend surface analysis was used to determine the spatial patterns of tree size, competitive stress, and effects of microsite on growth. A three-dimensional representation of the trend surface facilitated interpretation. Gradients of competitive stress depended on the competition index used. Microsite effects have a spatial trend and individual tree genetic effects are represented by the residuals from this trend.

scholarly journals Spatial interpolation and simulation of post-burn duff thickness after prescribed fire

1999 ◽  
Vol 9 (2) ◽  
pp. 137 ◽  
Author(s):  
P. R. Robichaud ◽  
S. M. Miller
Keyword(s):  
Spatial Patterns ◽  
Prescribed Fire ◽  
Field Studies ◽  
Timber Harvesting ◽  
Surface Model ◽  
Total Consumption ◽  
Trend Surface ◽  
Harvesting Techniques ◽  
A Site ◽  
Floor Material

Prescribed fire is used as a site treatment after timber harvesting. These fires result in spatial patterns with some portions consuming all of the forest floor material (duff) and others consuming little. Prior to the burn, spatial sampling of duff thickness and duff water content can be used to generate geostatistical spatial simulations of these characteristics. Results from field studies indicated that spatial patterns of duff characteristics occurred, and they were then modeled by kriging, simulation and a trend-surface modeling techniques. The higher elevations of the study unit burned more severely than the lower portion. This is believed to be due to the heat generated by the fire drying out the upper portions of the units, thus consuming more duff material and thinner pre-burn duff thickness due to ground-based harvesting techniques. Attempts to predict duff consumption and subsequent post-burn duff thickness were successful using a trend-surface model developed for this site and a general duff consumption model. Knowledge of spatial patterns of duff remaining may help land managers adjust prescriptions and alter ignition patterns to reduce areas where total consumption of duff might occur.

Trend Surface Analysis and the Lowland Classic Maya Collapse

1981 ◽  
Vol 46 (1) ◽  
pp. 93-112 ◽  
Author(s):  
Frederick J. Bove
Keyword(s):  
Surface Analysis ◽  
Response Surfaces ◽  
Classic Maya ◽  
Surface Model ◽  
Trend Surface Analysis ◽  
Late Classic ◽  
Response Models ◽  
Trend Surface ◽  
Stone Monuments ◽  
Maya Collapse

The methods of trend surface analysis, a form of regression analysis, are applied to complex archaeological surfaces, or response surfaces, derived from a series of points representing carved stone monuments in the Lowland Classic Maya region bearing the most recent dates. Results of a comparison of trend surface and residual maps produced and of an analysis of variance with expected maps do not support a strong west to east diffusionary trend for the collapse, nor a hypothesized invasion. Evidence is presented indicating the probable existence of five regional zones or sociopolitical spheres in the Late Classic whose existence may bear directly on the collapse through increased competition. The utility of the trend surface model is demonstrated, primarily as a method of formalized data description and as an aid in the building of process-response models.

Comment on “Thermodynamics of the L 3 (Sponge) Phase in the Flexible Surface Model" by John Daicic et al.

1996 ◽  
Vol 6 (1) ◽  
pp. 91-93 ◽  
Author(s):  
D. Roux ◽  
F. Nallet ◽  
C. Coulon ◽  
M. E. Cates
Keyword(s):  
Surface Model ◽  
Flexible Surface ◽  
Sponge Phase

EVALUASI KETELITIAN HORIZONTAL DARI CITRA TEGAK SATELIT RESOLUSI SANGAT TINGGI MENGGUNAKAN SRTM DAN TERRASAR-X UNTUK PEMETAAN SKALA BESAR

2018 ◽  
Vol 2 ◽  
pp. 535
Author(s):  
Maundri Prihanggo
Keyword(s):  
Control Point ◽  
Ground Control ◽  
Surface Model ◽  
Digital Surface Model ◽  
Check Point ◽  
Ground Control Point

<p>Saat ini, citra satelit resolusi sangat tinggi digunakan dalam berbagai macam aplikasi, terutama pemetaan skala besar. Sebelum dapat digunakan, citra satelit tersebut harus diorthorektifikasi terlebih dahulu. Data <em>Digital Surface Model </em>(DSM) dan <em>Ground Control Point</em> (GCP) adalah dua data utama yang diperlukan saat melakukan orthorektifikasi. Perbedaan data DSM yang digunakan akan menghasilkan perbedaan nilai ketelitian horizontal pada kedua citra tegak hasil orthorektifikasi. Pada penelitian ini digunakan dua jenis DSM yaitu SRTM dan Terrasar-X. Ketelitian vertikal dari SRTM adalah 90 m sedangkan ketelitian vertikal dari Terrasar-X adalah 12,5 m. Penelitian ini berlokasi di Wilayah Buli, Kabupaten Halmahera Timur, Provinsi Maluku. Terdapat tiga sensor citra satelit yang digunakan yaitu Pleiades, Quickbird dan Worldview-2 yang digunakan pada lokasi penelitian. Total GCP yang digunakan adalah 33 titik, tiap titiknya diukur dengan melakukan pengamatan geodetik dan memiliki ketelitian horizontal ≤15 cm dan ketelitian vertikal ≤30 cm. Ketelitian horizontal dari citra tegak satelit resolusi sangat tinggi diperoleh dengan melakukan uji terhadap Independent Check Point (ICP). Total ICP yang digunakan adalah 12 titik, tiap titik ICP diukur dengan metode dan standar yang sama dengan titik GCP. Ketelitian horizontal dengan Circular Error (CE 90) dari citra tegak satelit menggunakan data SRTM adalah 18,856 m sedangkan ketelitian horizontal dengan Circular Error (CE 90) dari citra tegak satelit menggunakan data Terrasar-X adalah 2.168 m . Hasil dari penelitian ini membuktikan bahwa ketelitian vertikal data DSM yang digunakan memberikan pengaruh pada citra tegak satelit hasil orthorektifikasi tersebut. Mengacu pada Peraturan Kepala BIG nomor 15 tahun 2014, citra tegak satelit hasil orthorektifikasi menggunakan data Terrasar-X sebagai DSM memenuhi ketelitian horizontal peta dasar kelas 3 skala 1:5.000 sedangkan citra tegak satelit hasil orthorektifikasi menggunakan data SRTM sebagai DSM tidak dapat memenuhi ketelitian horizontal peta dasar skala besar.</p><p><strong>Kata kunci:</strong> orthorektifikasi, DSM, ketelitian horizontal</p>

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